Yixiong oversees the group's funding and strategy.  His technical research spans representation engineering, applied interpretability, and agentic misalignment.  Beyond AISI, he plays golf, table tennis, and likes building robots.

Rocio is a CS undergraduate minoring in Law, Sci&Tech. Her research focus are interpretability and technically-informed policy that protects individuals without hindering innovation. She also enjoys going to the gym and music production.

Eyas is a PhD student in the school of Psychology. He manages AISI's meetings and socials. He uses neuroscientific methods to understand AI and elucidate the computational mechanisms of the brain.  He practices jiu jitsu and paints.

Alec is a CS undergraduate. He manages the AI Safety Fellowship.  His interests include adversarial robustness and theoretical approaches to AI safety. He also enjoys philosophy, finance, and meditation.

Ayush is a MATS Scholar and final year BS/MS Computer Science student. He served as co-director of AISI and helps manage its research program. His research spans AI control and mechanistic interpretability.  He likes to read, travel, and practice beginner's mind.

Parv is an ASTRA fellow at Constellation and previously a counter-WMD researcher at GTRI. He focuses on cyber/biosecurity, LLM evaluation, and governance.  He manages AISI's external collaborations and media engagement.

Andrew studies CS and public policy and is currently a research fellow at ERA. His research includes developing more meaningful AI model evaluations and disentangling neural networks.  Andrew composes music, reads–on a good day, and generally works on stretching his experiential distribution. 

Stepan is a CS undergraduate and currently an Anthropic Fellow. Previously he was an intern at Eleuther AI and was mentored by Neel Nanda during MATS.  His research focuses on extracting human-interpretable features from neural networks with a specialization in sparse-autoencoders.

Harshit is an undergrad Computer Engineering major with research interests in interpretability, multi-agent systems, and sustainable robotics. Outside AISI, he enjoys building robots, music production, standup and improv comedy, and plays football. 

Bratee is a first-year MSCS
student with interests in AI policy and advocacy. She also conducted research under AISI's technical governance research group. Outside AISI, she works as an accessibility implementor for OMSCS under Dr. Joyner and enjoys playing the piano. 

Meru is a researcher at GT and CS undergrad with a concentration in Systems/Architecture. He is interested in developing software and protocols to handle novel AI attack vectors and wants to win the 2026 SAT Competition. Outside AISI, he enjoys exploring religion and language.

Rohan is a third-year undergrad CS and Math student. He is interested broadly in language models and model steering. Outside AISI, he runs operations for GTMUN, plays clarinet, solves NYT crosswords, and drinks tons of coffee while exploring musical composition.

Ishan is an undergrad CS student. He explores economics, bio-security, and AI's impact on animal welfare, and he conducts research on AlphaFold interpretability under Dr. Krishnan and co-authors a systematic review of LLM evaluations. Outside AISI, he enjoys animal welfare advocacy and rock climbing.

Harshul is a first-year CS undergrad with theory and intelligence threads. His interests include interpretability and control techniques, specifically chain-of-thought interpretability methods. Outside AISI, he enjoys game dev, rock climbing, and sleeping in. 

Jaisen is a third-year undergrad CS student with threads in intelligence and theory. He is interested in technical AI safety research, particularly in mechanistic interpretability. Outside of AI Safety, he also enjoys climbing, reading, and playing racquetball with friends.

Vishnesh is a first-year MSCS student with specialization in ML. His interests lie at the intersection of AI, linguistics, and psychology, with NLP research in stylistics. He now focuses on mechanistic interpretability in RL. Outside AISI, he builds at HackerHouse and prototypes new projects.

Michael works on AI policy at METR and is a PhD student at the Univeristy of Oxford.  His work focuses on frontier AI safety frameworks for evaluating AI capabilities and establishing safety, security, and alignment commitments. He advises foundation model developers on their safety frameworks and provides input on related policy, such as the EU AI Act. His research has been covered in Time, The Guardian, and other media outlets.

Lisa is the co-founder of the SL5 Task Force.  She used to lead MIRI's Technical Governance Team, which she founded in 2024. Lisa focuses on concrete proposals for AI regulation, AI security, and verification mechanisms. She is a computer scientist from TUM and Georgia Tech, with a background in academic and industry ML research. Previously, she was a researcher at MATS and founded Philosophia Munich.  

Gaurav is a Ph.D. student at the RAND School of Public Policy and assistant policy researcher at RAND. His research focuses on critical capabilities such as autonomous R&D, and he previously served as a fellow at RAND's Technology and Security Policy Center. He has a BS and an MS in Computer Science from Georgia Tech. 

Abhay is currently an AI Safety Fellow at Anthropic, on leave from Georgia Tech. working on AI safety and LLMs. He has conducted research at the Center for Human-Compatible AI and participated in the ML Alignment & Theory Scholars (MATS) program. He has co-authored papers published in ACL and NeurIPS, spanning topics including automated redteaming, interpretability, and adversarial robustness.