MATS mentors are advancing the frontiers of AI alignment, transparency, and security

Lucas Le Merlus Schmuck
Coefficient Giving
,
Program Operations Associate, Technical AI Safety

Lucas is a program operations associate on Coefficient Giving’s Technical AI Safety team. He previously worked as an associate consultant at Bain & Company and holds a Master in Public Policy from Harvard Kennedy School.

Focus:
Strategy and Forecasting
Forecasting and Strategy, Founding and Field-Building
Max Nadeau
Coefficient Giving
,
Program Officer (Technical AI Safety)

Max Nadeau is a Program Officer on Coefficient Giving's Technical AI Safety team. Previously, he conducted research on machine-learning robustness and interpretability.

Focus:
Strategy and Forecasting
Forecasting and Strategy, Interpretability, Founding and Field-Building

Greg Kollmer is a co-founder of Lucid Computing, which develops secure, verifiable AI infrastructure. As a Columbia engineering graduate student Kollmer co-developed Palmos, a wireless sensor network for early landslide detection.

Focus:
Systems Security
Technical AI Governance, AI Systems Security
Jake Mendel
Coefficient Giving
,
Program Officer, Technical AI Safety

Jake Mendel is a technical AI safety program officer at Coefficient Giving, where he makes grants for technical work. Previously, he worked as a research scientist at Apollo Research.

Focus:
Strategy and Forecasting
Forecasting and Strategy, Interpretability, Founding and Field-Building
Akshay Jagadeesh
OpenAI
,
Member of Technical Staff

I am a scientist working at the intersection of artificial intelligence and neuroscience. My career began with a focus on understanding how the brain enables perception and behavior, using computational models to connect neural activity with cognition. After nearly a decade of academic research, including a PhD at Stanford University and a postdoctoral fellowship at Harvard Medical School, I have transitioned into industry to apply these insights more broadly.

I am currently a Researcher at OpenAI, where I focus on two goals: advancing safety research to ensure artificial intelligence systems are reliable and aligned, and exploring how AI can accelerate progress in health and medicine. I am especially motivated by the opportunity to translate my background in neuroscience and modeling into building AI tools that both deepen scientific discovery and contribute to human well-being.

At the core of my work is a curiosity about intelligent systems—both biological and artificial—and a commitment to using that understanding to create technologies that are safe, responsible, and transformative.

Focus:
Empirical
Capability and Propensity Evaluations, Alignment Training Methods
Manu Shivakumara
IBBIS
,
Senior Bioinformatics Engineer

Manu Shivakumara is a senior bioinformatics engineer at IBBIS, where he supports the development and optimization of the Common Mechanism, an open-source software platform for DNA synthesis screening. Shivakumara previously researched environmental DNA datasets at ETH Zurich and holds a PhD in genomics.

Focus:
Biosecurity
Biosecurity
Luca Righetti
OpenAI
,
Threat Modeler Lead

I am a Senior Research Fellow at the Center for the Governance of AI, leading a work stream that investigates national security threats from advanced AI systems. I am also a collaborator at METR, where I help improve the rigor of system cards and evals, and a senior at the Forecasting Research Institute.

I am interested in mentoring projects that create rigorous threat models of near-term AI misuse, especially within biosecurity. Given that this work can include sensitive topics, the final output might look like writing memos and briefings for decision-makers instead of academic publications.

I am also interested in projects that try to strengthen the science and transparency of dangerous capability evaluations reporting. This includes creating standards and checklists, writing peer reviews of model cards, and designing randomized control trials that can push the current frontier. 

Focus:
Biosecurity
Biorisk, Security, Safeguards
Keri Warr
Anthropic
,
Technical Lead - Security Engineering Team

Keri is the technical lead of the Infrastructure Security Engineering Team at Anthropic, implementing SL4/5 and searching for differentially defense-favored security tools.

Focus:
Systems Security
AI Systems Security
George Robinson
Independent
,
Alignment Researcher

George Robinson is an independent researcher formerly at the Alignment Research Center (ARC), working on a systematic and theoretically grounded approach to mechanistic interpretability. He is now looking to lead a research effort in London supporting this agenda. Previously, he was a PhD student at Oxford University specialising in Algebraic Number Theory. He lives in London, and is a member of the London Initiative for Safe AI (LISA).

Focus:
Theory
Interpretability, Theoretical Alignment and Formal Methods

Zainab is the co-founder of Asymmetric Security. She was previously a cybersecurity analyst at Stroz Friedberg, where she investigated some of the largest cybersecurity breaches of the past decade (e.g., Cambridge Analytica). She has also published at NeurIPS on AI cybersecurity evaluations. Zainab holds a master’s degree in Physics from Oxford University.

Focus:
Systems Security
Capability and Propensity Evaluations, AI Systems Security

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