MATS Autumn 2026

The Autumn 2026 program will run for 10 weeks in Berkeley, CA and London, UK from September 28th to December 4th. Fellows will receive mentorship from world-class researchers and at organizations like Anthropic, Google DeepMind, OpenAI, Redwood Research, and ARC, with the option to apply for a 6–12 month funded extension beyond the main program. For the first time, we are running Founding & Field-Building and Biosecurity tracks.

Applications are now open. Apply by June 7th.

Program phases

Key dates for the application and admissions timeline

1. Applications

General Application (May 12th to June 7th) 

Applicants fill out a general application to individual tracks which should take 1-2 hours. Applications are due by June 7th EOD AOE.

Additional Evaluations (June 7th to late July)

After an initial evaluation, applicants will apply to individual streams listed below. Additionally, applicants undergo a variety of track specific evaluations including coding tests, writing reviews, work tests, and interviews. Which evaluations you will undergo depend on the tracks, streams and mentors you apply to.

Admissions Decisions (Late July to early August)
Selected applicants are notified of their acceptance and anticipated mentor later in the application cycle.

Autumn 2026 Timeline:

2. Main Program
3. Extension Phase
4. Post-program

Autumn 2026 Streams

In stage one, you apply to one or more tracks (broad research areas): Empirical, Theory, Strategy & Forecasting, Policy & Governance, System Security, Biosecurity, and Founding & Field-Building. In stage two, advancing applicants choose specific streams within those tracks, each led by one or more mentors with their own research agenda. You can view this list as a grid here.

Additional streams will be added over the course of May.

We are looking for fellows with a significant background in the biological sciences and/or a founder's perspective to work on and support the Bio Action Plan.

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Desired fellow characteristics

This stream will focus on monitoring, stress-testing safety methods, and evals, with a focus on risks from scheming AIs. Examples include (black-box) AI control techniques, white-box monitors (probes etc.), chain-of-thought monitoring/faithfulness, building evaluation environments, and stress-testing mitigations.

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Mentorship structure
Desired fellow characteristics
Project selection process

This stream will focus on projects related to biosecurity countermeasures.

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Mentorship structure
Desired fellow characteristics
Project selection process

This stream focuses on lead independent research in one of six chokepoints for biotech governance: live pathogen repositories, CROs, cloud labs, cell-free expression systems, plasmid vendors, or secondhand lab equipment. 

On high-conviction areas, you'll tackle specific open research questions and assess interventions; on low-conviction areas, you'll conduct deep dives to determine whether they're worth pursuing. Your findings will directly shape Sentinel's grantmaking strategy and provide strategic guidance to the broader biosecurity community.

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Mentorship structure
Desired fellow characteristics
Project selection process

Implementing SL4/5 and searching for differentially defense-favored security tools.

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Mentorship structure
Desired fellow characteristics
Project selection process

We are excited to supervise projects:

  1. Study the causes and implications of (multi-agent) situational awareness;
  2. Contribute to LawZero's Scientist AI, in the form of contextualization and uncertainty estimation. 
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Mentorship structure
Desired fellow characteristics
Project selection process

Lee's stream will focus primarily on improving mechanistic interpretability methods for reverse-engineering neural networks.  

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Mentorship structure
Desired fellow characteristics
Project selection process

The SL5 Task Force will build out a prototype SL5 datacenter this year together with frontier AI labs. This will be a massive research and engineering project with many avenues for spinning out new organizations and research programs. This project is urgent due to this technology being needed in the next 1 to 2 years.

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Mentorship structure
Desired fellow characteristics

Community at MATS

MATS Research phase provides scholars with a community of peers.

Scholars work out of a shared office and are supported by the Community Team.

MATS alumni report that the connections with peers that they made during MATS have had the largest impact on them years later. Our full-time Community Team works to facilitate these connections and also provide general well-being support. Weekly lightning talks, scholar-led discussion groups, game nights, and outings to SF are some examples of MATS events.