People

Dr. Dai is an Assistant Professor at the School of Computational Science & Engineering and Staff Research Scientist at Google DeepMind. His research focuses on Agent AI upon Generative Models, Representation, and Reinforcement Learning, and creating agents with decision-making and planning ability through modeling the world. 

Dr. Goyal is an Assistant Professor in the  School of Interactive Computing. He completed his Ph.D. at Carnegie Mellon and was a research assistant professor at Toyota Technical Institute at Chicago. His work includes statistical NLP applications to historical texts and ancient languages, using ML to reveal linguistic connections across time periods. 

Dr. Delarue is an Assistant Professor in the  H. Milton Stewart School of Industrial and Systems Engineering. He completed his Ph.D. at MIT's Operations Research Center in 2021 and was a postdoctoral fellow at Lyft Rideshare Labs. His research focuses on marketplace and public sector operations, leveraging data, optimization, and ML to solve societal problems. 

Andrew is an undergraduate pursuing degrees in computer science and public policy. As a member of the Policy Advocacy Network, he works with AI safety organizations to educate the public and policymakers about emerging AI risks. His technical research interests include developing more meaningful AI model evaluations and disentangling neural networks. Outside of academics, Andrew composes music, reads–on a good day, not research papers!–and generally works on stretching his experiential distribution. 

Alec Harris is an undergraduate computer science student with threads in theory and intelligence. He organizes the AI Safety Fellowship program for AISI@GT. Academically, his interests include adversarial robustness and mathematical foundations of ML. Other interests include philosophy, finance, meditation, and nutrition. He aims to contribute to AI alignment research through rigorous theoretical approaches. 

Eyas Ayesh is an incoming PhD student at the GT school of Psychology. He is the community lead for the AISI, organizing general body meetings and socials. Eyas is broadly interested in using methods from psychology and neuroscience to understand AI and elucidate the computational mechanisms of the brain. His current research projects span encoding models, interpretability, and activation monitoring. Outside of AISI, he likes to practice jiu jitsu, paint, and work on his side projects.

Rocio oversees AISI's outreach and public-facing outputs. She is also an AISI researcher currently conducting deepfake policy research under Prof. Margaret Kosal. As a computer science undergraduate pursuing a minor in Law, Science & Technology, Rocio is interested in pathways to technically-informed policy that protects individuals without hindering innovation. Outside of AISI, she codes robots that play soccer, tries her hand at music production, and enjoys playing sports with friends

Harshit is an undergraduate computer engineering major. He leads operations for the club, and organizes the Rapid Upskilling Cohorts program. Alongside organizing, his research interests include interpretability and multi-agent systems, and sustainable robotics outside AI safety. Harshit also enjoys music production, does both standup and improv comedy, and plays football.

Denver is a second-year undergraduate student studying computer science working on AISI's internal logistics. She is a Helen Fellow working in the Play and Learn lab at Georgia Tech's School of Interactive Computing, as well as a software team member in SynapseX, Georgia Tech's BCI device research organization. Denver's research interests span the intersection of neuroscience and theoretical computer science, and she hopes to contribute to the emerging frontier of AI Safety through interpretability research. Outside of AISI, she enjoys gaming, digital art, and Stephen King novels

Bratee Podder is a BSMS Computer Science student at Georgia Tech, with Info networks and Media threads. With an interest in AI policy specifically, she is currently researching under AISI's policy governance group and a deepfake policy research team under Dr. Kosal. Outside of the policy sphere, she works in Law, Data & Design's lab to utilize LLMs to solve different issues in law, primarily around developing automated data-analysis pipelines for courtroom efficiency. Her aim is to contribute and develop robust AI policies for our future

Vishnesh Jayanthi Ramanathan is a first-year Master's student pursuing a degree in computer science with a specialization in machine learning. His technical interests lie at the intersection of AI, linguistics, and psychology. In the past, he has worked on NLP research in stylistics and dialects while his current focus is on applying mechanistic interpretablity methods to reinforcement learning. Outside of AISI, you can find him building at the Georgia Tech HackerHouse or prototyping at the Hive Makerspace. Feel free to contact him at vishnesh@gatech.edu

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.  

Rae provides direct operational support to the executive office at METR. She has a background in software engineering and a degree in computer science from Georgia Tech. Her role involves supporting METR's organizational operations as the AI safety evaluation organization develops assessments for dangerous capabilities in frontier AI systems.