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AIxBio Hackathon

Apr 24 - 26, 2026Online and in person

AIxBio Hackathon

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A weekend hackathon on AI and biosecurity: DNA synthesis screening, pandemic early warning, and practitioner tools.

Overview

The AIxBio Hackathon brings together researchers, engineers, biosecurity professionals, and AI safety enthusiasts to work on one of the most urgent intersections in safety: how AI is changing biological risk, and what we can build to stay ahead.

Over three days, participants will develop tools, prototypes, and research addressing real gaps in biosecurity infrastructure, from DNA synthesis screening and pandemic early warning systems to practitioner tools that don't exist yet.

Coefficient Giving opened a new biosecurity Request for Proposals and expects to direct over $100M to biosecurity this year. Conor McGurk, Chief of Staff, Biosecurity, is joining us on Thursday, April 23, 2026 at 3pm ET with a 15-minute talk on what their team is prioritizing for funding and what strong Expressions of Interest look like. (Check resources tab for more info)

The hackathon ends Sunday, April 26, 2026. The RFP closes Monday, May 11, 2026 at 11:59pm PT. That leaves two weeks to develop a hackathon idea into a 500-word EOI. See the Resources tab for the example projects Conor highlighted.

Organized by

Apart Research | BlueDot Impact | Cambridge Biosecurity Hub

Track sponsors: CBAI (DNA Screening & Synthesis Controls) | Measuring AI Progress (Pandemic Early warning) | Fourth Eon Bio (AI Biosecurity Tools) | Sentinel Bio (Benchtop Synthesizer Security)

What is AIxBio?

AI is transforming biology faster than biosecurity can keep up. Open-weight biological foundation models like Evo2 (a DNA language model, 40B parameters, trained on 128,000+ genomes) and protein design tools like RFdiffusion are making it possible to design novel biological sequences with less expertise than ever before. At the same time, benchtop DNA synthesizers are approaching the capability to print virus-length sequences (expected within 2-5 years), and current screening infrastructure covers only a fraction of global synthesis capacity.

On the defensive side, pathogen-agnostic metagenomic surveillance is finally becoming practical. Wastewater monitoring can detect outbreaks weeks before hospitals see cases. AI anomaly detection could identify engineered pathogens in sequencing data. But most of these tools are siloed, under-resourced, or still in the research phase. The field needs builders.

Hackathon Tracks

1. DNA Screening & Synthesis Controls (sponsored by CBAI)

Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. Current screening misses AI-designed protein variants and struggles with short sequences. For projects focused on benchtop synthesizer security, see Track 4.

2. Pandemic Early Warning (sponsored by Measuring AI Progress)

Develop AI-powered surveillance, anomaly detection, and data integration tools for catching outbreaks earlier. Wastewater monitoring, metagenomic sequencing, and open-source disease intelligence are all ripe for better tooling.

3. AI Biosecurity Tools (sponsored by Fourth Eon Bio)

Build the tools that biosecurity practitioners actually need: unified dashboards, rapid risk assessment systems, policy trackers, secure communication tools, and accessible resources for under-resourced institutions.

4. Benchtop Synthesizer Security (sponsored by Sentinel Bio)

Build security infrastructure for benchtop DNA synthesizers before they reach dangerous capability thresholds: phone-home screening, tamper-proof hardware, split order detection, and customer verification. No mandatory screening exists today, but US and EU legislative momentum is opening a window to change this.

Who should participate?

  • AI safety researchers and engineers
  • Biosecurity and public health professionals
  • Machine learning researchers interested in biological applications
  • Security researchers and red teamers
  • Policy researchers working on biogovernance
  • Software engineers interested in building safety infrastructure
  • Students and early-career researchers exploring biosecurity

No prior biosecurity experience is required. The Resources tab has a curated reading list organized by track. Teams typically form at the start of the event.

What you will do

Over three days, you will:

  1. Form teams and choose a challenge track
  2. Research and scope a specific problem using the provided resources
  3. Build a project: a tool, prototype, evaluation, or research contribution
  4. Submit a research report (PDF) documenting your approach, results, and implications
  5. Have your work reviewed by judges from leading biosecurity and AI safety organizations

What happens next

After the hackathon, all submitted projects will be reviewed by expert judges. Top projects receive prizes and are featured on the Apart Research website. Outstanding work may be invited for further development, publication, or presentation at upcoming events.

Why join?

Apart Research has organized 55+ research sprints with 7,000+ participants across 200+ global locations. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub, with track sponsorship from CBAI, Sentinel Bio, Fourth Eon Bio, and Measuring AI Progress. Our hackathons produce real research output: published papers, new research collaborations, and contributions to open-source safety tools used across the field.

Resources

This resources page provides curated reading material, tools, and project ideas organized by hackathon track. You do not need to read everything here. Start with the "Essential Reading" section for your chosen track, explore the tools you plan to use, and dive deeper into specific papers as your project takes shape.

Coefficient Giving Biosecurity RFP (closes May 11, 2026)

Coefficient Giving's biosecurity RFP is accepting Expressions of Interest through Monday, May 11, 2026 at 11:59pm PT. EOIs are short (500 words max). Coefficient Giving expects to direct over $100M to biosecurity this year. Applications are open to individuals and organizations, including those working in academia, nonprofits, industry, or independently.

Conor McGurk (Chief of Staff, Biosecurity at Coefficient Giving) opens the hackathon on Thursday, April 23, 2026 at 3pm ET with a preview of what strong EOIs look like.

Example projects Conor highlighted from the RFP

These are hypothetical example projects in the RFP's "Tech safeguards and governance" category, which Conor pointed to as where hackathon projects align best. The list below is illustrative, not exhaustive. Any project that fits the RFP is welcome.

  1. "Rule-in" AI capability evaluations. Test whether frontier AI models can assist experts at novel dangerous pathogens.
  2. Red-teaming misuse safeguards. Evaluate whether a well-resourced group could circumvent current safeguards at frontier AI companies through jailbreaks, know-your-customer bypasses, or access-control failures.
  3. LLM classifiers for biology misuse detection. Improve the ability of classifiers to distinguish legitimate research queries from misuse attempts.
  4. AI-accelerated biosecurity defenses. Apply AI to patch vulnerabilities in DNA synthesis screening, know-your-customer policies, and other safeguards.
  5. Resilient AI safeguards. Investigate whether safeguards could be put in place such that AI bioweapon capabilities become harder to distill or jailbreak than other safeguards.
  6. Open-weight catch-up analysis. Empirical tracking of how fast open-weight models are reaching frontier capability on specific bioweapon-relevant tasks.
  7. Biological dataset bottleneck analysis. Empirical work on whether specific biological training datasets are real bottlenecks for dual-use capability, or whether equivalent data is available elsewhere.

Coefficient Giving has previously funded SecureBio's work on evaluating the capabilities of AI systems in biology research, and the Nuclear Threat Initiative's development of the Common Mechanism for gene synthesis screening.

Turning a hackathon project into an EOI

  1. Pick a direction that fits the RFP. The examples above are a starting point, not a bounded menu.
  2. Build the prototype over the three hackathon days.
  3. After the event, write a 500-word Expression of Interest describing the project and what funding would unlock.
  4. Submit through the RFP page before May 11, 2026.
  5. Questions: bio-rfp@coefficientgiving.org

Readings for All Tracks

Track 1: DNA Screening & Synthesis Controls (sponsored by CBAI)

Build better tools for screening DNA synthesis orders from commercial providers, detecting dangerous sequences, and creating guardrails for AI-powered biological design tools. For benchtop synthesizer-specific projects, see Track 4.

Current screening infrastructure has critical gaps. AI-designed protein variants can evade sequence-based screening. False positive rates at short sequence lengths drive up manual review costs. Regulatory frameworks for synthesis screening remain incomplete, and approximately 20% of global synthesis capacity operates outside voluntary screening frameworks.

Essential Reading

Further Reading

Example Projects

  • Build function-prediction-based screening that flags sequences by predicted biological function rather than sequence similarity alone
  • Build a biosecurity screening layer for biology-focused LLM interfaces (input/output filtering)
  • Prototype a managed access wrapper for an open-source biodesign tool (e.g., ProteinMPNN) with tiered permissions based on user vetting
  • Create an ML-based system to reduce false positive rates in short-sequence screening, cutting manual review burden
  • Develop a pipeline to identify and flag hazardous sequences in biological training datasets
  • Use AI to patch specific vulnerabilities in DNA synthesis screening pipelines, building on the Microsoft, IBBIS, and SecureDNA cross-sector work on AI-designed protein variants published in Science
  • Empirical analysis of whether specific biological training datasets are real bottlenecks for dual-use capability, or whether equivalent data is available elsewhere

Track 2: Pandemic Early Warning (sponsored by Measuring AI Progress)

Essential Reading

Further Reading

  • WaSPP (Wastewater Surveillance for Pandemic Prevention) - International network launched mid-2025 standardizing methods across Africa, Asia, Europe.
  • Biobot Analytics - Commercial wastewater surveillance measuring 51 substances. Detects trends 2 weeks before hospital data.
  • "Biothreat Radar" CDC FY2026 Budget Proposal - $52M for metagenomic sequencing at 5 wastewater sites and 13 airports. Could detect novel pathogens before 12 in 100,000 infected.
  • ProMED-mail - Qualitative outbreak reporting system, ~80,000 subscribers in ~200 countries, 24/7 staff from 30+ countries.

Example Projects

  • Build an ML anomaly detection system for metagenomic sequence data from wastewater surveillance
  • Develop a classifier that flags sequences with engineering hallmarks (foreign material, cloning scars, resistance cassettes) in metagenomic data
  • Build an open-source disease intelligence platform using public data (WHO reports, ProMED, news APIs, flight data) as an alternative to proprietary tools like BlueDot
  • Create an automated alert pipeline: sequence data in, actionable notification out, with confidence scoring
  • Build a data integration dashboard aggregating surveillance from multiple sources (NWSS, clinical, news, social media)
  • Prototype privacy-preserving data sharing protocol for cross-jurisdictional surveillance using differential privacy or federated learning
  • Add an ML-based anomaly detection or forecasting module to an open-source tool like SORMAS or Go.Data

Track 3: AI Biosecurity Tools (sponsored by Fourth Eon Bio)

Essential Reading

Further Reading

Example Projects

  • Build a unified biosecurity dashboard pulling from surveillance, news, synthesis screening, and policy feeds
  • Create a rapid risk assessment tool: input a new AI model or capability, output a structured threat assessment based on existing frameworks (RAND, Sandia, IBBIS)
  • Build an open-source threat intelligence aggregator for biosecurity (like "VirusTotal for bio")
  • Prototype a biosecurity policy tracker monitoring regulatory changes across jurisdictions
  • Develop a lightweight, offline-capable screening or risk assessment tool for low-resource settings
  • Build a cyberbiosecurity vulnerability scanner for lab information systems and sequence databases
  • Create a gamified lab biosecurity self-assessment tool that institutions can run quarterly
  • "Rule-in" AI capability evaluations: can frontier models assist experts at novel dangerous pathogens?
  • Red-team misuse safeguards (jailbreaks, know-your-customer, access controls) at frontier AI companies and biological AI tool providers
  • Build better LLM classifiers for biology misuse detection, tested against adversarial prompts
  • Investigate whether model-level safeguards can make bioweapon-relevant capabilities harder to distill or jailbreak than other safeguards
  • Empirical tracking of how fast open-weight models are catching up on specific bioweapon-relevant capabilities

Track 4: Benchtop Synthesizer Security (sponsored by Sentinel Bio)

Benchtop DNA synthesizers are approaching the capability to synthesize significant portions of viral genomes in the next few years. Today, no mandatory sequence or customer screening exists beyond export controls, but recent legislative momentum in the US and EU is opening a window to change this. This track focuses on building the security infrastructure needed to secure benchtops, such as phone-home screening, hardware security, and split order detection. Sentinel Bio is a non-profit philanthropic fund that supports and incubates projects in biotech governance, including AI-enabled biology and nucleic acid synthesis screening.

Example Projects

  • Design an on-device record-keeping system for benchtop synthesizers: compress synthesis logs for secure on-device storage and later auditing, like an aircraft black box for DNA synthesis. See Baker & Church in "Protein design meets biosecurity" and Jonas Sandbrink on record-keeping for strong attribution.
  • Build on-device split order detection: given a device's synthesis history, flag when sequences could be assembled into a sequence of concern. A valid finding may be that local-only detection is insufficient and sequences need to be checked against a shared online database.
  • Research tamper-evident or tamper-proof approaches for benchtop devices: survey the most tamper-proof laboratory devices available today, assess viability and cost for benchtop synthesizers. See the tamper-proofing mitigations in the IFP report on Securing Benchtop DNA Synthesizers.
  • Map the reagent supply chain for know-your-customer feasibility: determine which current benchtop devices use generic vs. proprietary dNTPs, whether enzymatic or chip-based synthesis changes the picture, and whether standardized customer screening for reagent purchases is viable. See IFP recommendations and UK screening guidance on reagent tracking.
  • Prototype on-device authentication and authorization for researchers approved to work with sequences of concern: address spoofing and privilege escalation threats. See SecureDNA Exemption Certificates for one approach using hardware keys and biosafety officer approvals.

Project ideas contributed by Tessa Alexanian, with additions by Lucas Boldrini.

Essential Reading

Further Reading

Tools and Platforms

Screening

Surveillance and Outbreak Response

  • Go.Data (WHO) - Open-source contact tracing and outbreak response.
  • SORMAS (HZI) - Open-source surveillance and outbreak management.
  • STEM - Open-source spatiotemporal epidemiological modeler (archived, but codebase still available).
  • ProMED-mail - Global disease outbreak reporting.
  • GenBank / NCBI - Sequence data repositories.

Biodesign Tools (for building guardrails around)

  • ProteinMPNN - Protein sequence design. Track 1 participants may build screening or access controls for tools like this.
  • RFdiffusion - Protein structure generation.
  • AlphaFold 3 (DeepMind) - Protein structure prediction.

Community Tools

  • BINTEX - AI-powered drug discovery and literature analysis platform. Queries PubMed, OpenTargets, ChEMBL, ClinicalTrials.gov, and UniProt with multi-perspective LLM synthesis.

Guidelines

Judging Criteria

Dimension 1: Impact Potential & Innovation

How much would this matter for biosecurity if it worked? How innovative is it?
For scores of 4-5: is this actually new to the field, or replicating recent work?

ScoreDescription
1Negligible. No clear problem addressed, or no meaningful novelty.
2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

Dimension 2: Execution Quality

How sound are methodology, implementation, and findings?

ScoreDescription
1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

Dimension 3: Presentation & Clarity

How clearly are work, findings, and impact potential communicated?

ScoreDescription
1Incomprehensible. Cannot determine what the project is actually claiming or doing.
2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

Submission Requirements

A complete submission includes:

  1. A research report in PDF format using the official submission template
  2. A project title and brief abstract (150 words max)
  3. Author names and affiliations for all team members
  4. Link to a public GitHub repository with your code (recommended - optional)
  5. A brief (3-5 minute) video demonstration of your solution (optional)

Important: Include an appendix called "Limitations and Dual-Use Considerations" that addresses:

  • Limitations (false positives/negatives, edge cases, scalability constraints)
  • Dual-use risks (could your tool or findings be misused to cause harm?)
  • Responsible disclosure recommendations (if vulnerabilities were discovered)
  • Ethical considerations in your approach
  • Suggestions for future improvements

There is no hard page limit. Most winning projects are 4-8 pages. The report should include:

  • Introduction: What problem did you address? Why does it matter for biosecurity?
  • Related Work: What existing work does your project build on?
  • Methodology: What did you build or test? Describe your approach in enough detail for someone to replicate it
  • Results: What did you find? Include quantitative results where possible
  • Discussion: What are the implications? What are the limitations? What would you do with more time?
  • References: Cite relevant prior work

Important notes:

  • You can submit as an individual or as a team
  • You can build on existing work, but you MUST clearly identify what is NEW work done during the hackathon
  • If you need to fix your submission, submit again using the exact same title and details. Your new files will replace the old ones.
  • Submit through the official submission form on the hackathon page
  • If you run into submission issues, DM Kamil on Discord or email sprints@apartresearch.com
  • Before submitting, gather all your info in a separate document so you can copy-paste into the form: team member names, emails, Discord handles, project title, abstract, and your PDF. If you have extras like a presentation, GitHub link, or images, have those ready too. Triple-check everything before hitting submit.
  • Due to the high volume of submissions, we cannot guarantee written feedback for every participant, although all projects will be evaluated.

Frequently Asked Questions

Getting Started

Q: How does the hackathon work? A: Sign up, join the Discord server, form or join a team (or work solo), pick a direction, build your project over three days, and submit a research report (PDF) by the deadline. Talks and Q&A sessions run throughout the event.

Q: How long is the hackathon? A: Three days, April 24-26, 2026. Submissions are due end of day Sunday Anytime on Earth (AoE), the last day of the event. The full schedule with speaker times is on the Schedule tab.

Q: Can I participate remotely? A: Yes. The hackathon is hybrid: in-person hubs run in select cities, and full remote participation is available. All talks, collaboration, and submissions happen online through Discord and Zoom, so remote participants have the same experience.

Q: How do teams work? A: Teams form before or during the hackathon. Check the team-forming channels on Discord to find collaborators. Solo participation is fine. We recommend teams of up to 5, but larger groups are allowed.

Q: Do tracks affect scoring? A: All projects are scored on the same rubric regardless of track. However, Tracks 1 and 4 have sponsor-specific prizes ($1,000 each), so your track choice may affect which prizes you are eligible for. You can still work on something that spans multiple tracks.

Q: Do I get compute credits? A: No, not for this one. Compute clouds have been booked solid for weeks, so we couldn't lock in credits in time.

Q: Do I need biosecurity experience? A: No. Many participants come from ML, software engineering, or AI safety backgrounds. The Resources tab has everything you need to get up to speed, and speakers will provide context during the event.

Q: Are the talks recorded? A: Yes. Recording links are shared in the Schedule tab above.

Q: What timezone are deadlines in? A: Submissions close Sunday April 26 at 11:59 PM Anytime on Earth (AoE).

Q: Do I need to attend all three days? A: No. You can work at your own pace. Talks are optional but recommended. The only hard deadline is the submission cutoff on Sunday.

Q: Can I participate from any country? A: Yes. The hackathon is open globally. In-person hubs are available in select cities, and full remote participation is supported.

Submissions

Q: What do I submit? A: A research report in PDF format using the submission template. Think of it as a mini research paper documenting your problem, approach, results, and implications. Not a product demo.

Q: Which submission template should I use? A: Always use the one linked on the Guidelines tab of the hackathon website. The template in the acceptance email may be an older or minimal version.

Q: Will I get a confirmation after submitting? A: If the website shows you a "Your project has been submitted" message, then your submission went through. If you don't see that confirmation, try again or DM Kamil on Discord.

Q: My project doesn't show up on the website after submitting. A: Submissions are reviewed and published manually. It can take up to 12 hours for your project to appear on the website. If it is still missing after that, email sprints@apartresearch.com.

Q: I submitted a duplicate by accident. A: DM Kamil on Discord with your project title. He will keep the correct submission and delete any extras.

Q: I made a mistake in my submission. Can I fix it? A: Submit again using the exact same title and exact same details, just fix what was wrong. Your new PDF and files will replace the old ones. If you're unsure, DM Kamil on Discord first.

Q: Can I fix my PDF after submitting? A: Yes. Submit again using the exact same title and exact same details, just upload the corrected PDF. The new submission will replace the old one. If you're unsure, DM Kamil on Discord first.

Q: Can I add team members after submitting? A: Yes. You can update team members through the submission form on the website. If you need help, DM Kamil on Discord.

Q: Can I submit an unfinished project? A: Yes. Submitting something unfinished is always better than not submitting. Judges evaluate what you accomplished during the hackathon timeframe.

Q: Can I build on existing research? A: Yes, but you must clearly identify what is new work done during the hackathon. Projects with significant undisclosed prior work will be disqualified, even from top prize positions. If a judge or organizer contacts you about prior work concerns, respond promptly. Failure to respond may result in disqualification.

Q: Can I submit multiple projects? A: Yes, but each project needs its own submission with a unique title. Most participants focus on one project.

Q: What if a team member drops out? A: You can still submit with the remaining members. Update the team member list in your submission. If you need help, DM Kamil on Discord.

Judging and Results

Q: How does judging work? A: Your project is assigned to 2-3 expert judges who review your PDF and score it on the three dimensions above. Judges typically have about one week after the event to complete reviews.

Q: Where is the scoring rubric? A: Above on this page.

Q: Are individual judge scores shared? A: No. The rubric is public, but individual scores are internal. Constructive feedback from judges is shared with participants without reviewer names.

Q: When will results be announced? A: Typically 1-2 weeks after the judging deadline. Winners are contacted directly. All participants receive reviewer feedback by email.

Support

Q: How do I get help during the hackathon? A: Three ways:

Schedule

Wed Apr 22 (pre-hackathon)
15:00 UTCAlex Kleinman · Recording
17:00 UTCGene Olinger · Recording
Thu Apr 23 (pre-hackathon)
14:00 UTCJames Black · Recording
15:00 UTCCassidy Nelson · Recording
19:00 UTC Conor McGurk, Coefficient Giving · Recording
Fri Apr 24 (Main Day)
13:00 UTCKevin Esvelt (keynote) · Recording
14:00 UTCColeman Breen · Recording
16:00 UTCOliver Crook (keynote) · Recording
17:00 UTCSteph Guerra · Recording
18:00 UTCJaime Yassif (keynote) · Recording
Hackathon Logistics Presentation - Recording

Speakers

  • Kevin Esvelt

    Kevin Esvelt

    Keynote

    Kevin M. Esvelt is an associate professor at the MIT Media Lab, where he directs the Sculpting Evolution Group. In 2013, he was the first to identify the potential for CRISPR gene drive systems to alter wild populations, and he broke with scientific tradition by calling for open discussion and safeguards before any lab demonstrated the technology. His current work focuses on catastrophic biorisk mitigation: he co-founded SecureDNA, a cryptographic platform for universal DNA synthesis screening, and helped develop the Nucleic Acid Observatory, a global early-warning system for biological threats.

  • Oliver Crook

    Oliver Crook

    Keynote

    Dr. Oliver Crook is an MRC Career Development Award Fellow and Group Leader at the Kavli Institute for NanoScience Discovery, University of Oxford, and a Todd-Bird Junior Research Fellow at New College. His group develops computational and statistical methods drawing on Bayesian machine learning, structural biology, and AI interpretability, with applications in molecular parasitology, protein design, and biosecurity. Before starting his group in 2025, he was seconded to the UK Government's AI Safety Institute to lead a protein design team.

  • Jaime Yassif

    Jaime Yassif

    Keynote

    Dr. Jaime Yassif is Senior Advisor for Global Biological Policy and Programs at NTI | bio, where she focuses on governance and safeguards at the intersection of AI and the life sciences. She previously served as Vice President of NTI | bio, overseeing the organization's work to reduce global catastrophic biological risks, and before that as the inaugural Biosecurity and Pandemic Preparedness Program Officer at Open Philanthropy, where she directed approximately $40 million in grants that helped build the modern biosecurity field. Dr. Yassif holds a Ph.D. in Biophysics from UC Berkeley and has advised the U.S. Department of Defense and Department of Health and Human Services on biosecurity policy.

  • Conor McGurk

    Conor McGurk

    Speaker

    Conor McGurk is Chief of Staff for Biosecurity & Pandemic Preparedness at Coefficient Giving (formerly Open Philanthropy), where he works on grantmaking strategy across one of the largest philanthropic funders of global catastrophic risk work. Before joining Coefficient Giving in 2025, he co-founded and led the Safe AI Forum, an AI safety nonprofit that organized the International Dialogues on AI Safety series, bringing together Turing Award winners, former heads of state, and leading AI scientists to build consensus on global AI governance. He previously held roles in engineering management at Meta and technology strategy consulting at Deloitte, and holds a BSc in Computer Science and Philosophy from the University of British Columbia

  • Cassidy Nelson

    Cassidy Nelson

    Speaker

    Dr. Cassidy Nelson is the Director of Biosecurity Policy at the Centre for Long-Term Resilience (CLTR), leading a team working to safeguard against pandemics and address extreme biological risks through targeted policy engagement. A dual-trained physician-scientist, she holds a DPhil in Biology from Oxford, an MPH from the University of Melbourne, and a Medical Degree from the University of Queensland. Before CLTR, she spent a decade as a clinician and biosecurity researcher at Oxford, and has advised the WHO and the Bipartisan Commission on Biodefense on health security policy.

  • Coleman Breen

    Coleman Breen

    Speaker

    Coleman Breen is a Fellow at the Johns Hopkins Center for Health Security and a Senior AI Policy Researcher at SecureBio, where he works on biosecurity-relevant AI evaluations and policy. He is a PhD candidate in Statistics at UW-Madison, with research focused on the statistical evaluation of genetic sequence machine learning models. His background spans computational biology, AI, and a stint as an AI resident at Google[x] working on agricultural biotechnology.

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  • Gene Olinger

    Gene Olinger

    Speaker

    Gene Olinger, PhD, MBA, is the Director of the Galveston National Laboratory and Professor of Microbiology and Immunology at the University of Texas Medical Branch, where he holds the John Sealy Distinguished University Chair in Tropical and Emerging Virology. He brings over 20 years of BSL-3/4 research experience, with a focus on vaccine and therapeutic development for Ebola and other high-consequence emerging pathogens. Before joining UTMB, he served at USAMRIID and NIH NIAID, where he was a key contributor to the development of ZMapp, the Ebola treatment deployed during the West Africa outbreak.

  • James Black

    James Black

    Speaker

    Dr. James Black is a Contributing Scholar at the Johns Hopkins Center for Health Security, where he focuses on technical assessments of AI-enabled biological risks. He trained as a medical doctor at the University of Oxford and Imperial College London, earned his PhD in computational cancer biology from University College London, and completed a postdoctoral fellowship at the Francis Crick Institute.

  • Jonas Sandbrink

    Jonas Sandbrink

    Speaker and Judge

    Jonas Sandbrink is Entrepreneur-in-Residence at Sentinel Bio, where he works on researcher credentialing for access to bio-capable AI systems. Previously at the UK AI Security Institute, where he founded the chem/bio evaluations team, the first government program anywhere to assess whether frontier AI models could enable biological or chemical misuse. Before AISI, he advised the UK Cabinet Office and Google DeepMind on biosecurity. He holds a DPhil from Oxford's Nuffield Department of Medicine, where his research examined misuse risks from synthetic virology and AI.

  • Steph Guerra

    Steph Guerra

    Speaker

    Dr. Steph Guerra is a molecular biologist and biosecurity expert serving as Senior Biosecurity Research Resident and AIxBio Lead at the RAND Center on AI, Security, and Technology, where she researches the convergence of AI and biotechnology to advance security and the public good. Prior to RAND, she was Head of Strategic Partnerships at the U.S. AI Safety Institute at NIST, where she led efforts to evaluate the national security risks of advanced AI systems, and earlier worked at the White House Office of Science and Technology Policy on biodefense strategy and policy. She holds a PhD in biological and biomedical sciences from Harvard University.

  • Alex Kleinman

    Alex Kleinman

    Speaker

    Alex Kleinman is Co-founder and Director of Operations at Active Site (formerly Panoplia Labs), a research nonprofit measuring AI's impact on biosecurity risks. He co-led the wet-lab RCT on whether LLMs provide biological uplift to novices, contributed to ABC-Bench (an agentic biosecurity benchmark presented at NeurIPS 2025), and co-authored a study on antibiotic and vaccine countermeasures against mirror bacteria. Before Active Site, he was on the science team at Alvea, working on broad-spectrum vaccines.

Judges and mentors

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Where a Sprint can lead

How our programs connect
  1. Sprint

    Anyone can join

    Stand out

  2. Apart Fellowship

    6 to 16 weeks on your own project, with a research project manager, compute and publication support.