Postdoctoral Fellow at Teamcore, Harvard

I am a postdoctoral researcher at Harvard University, advised by Professor Milind Tambe. I completed my PhD in Operations Research at MIT, where I was advised by Professor Dimitris Bertsimas. I obtained my undergraduate degree from Seoul National University.

My PhD research focused on developing machine learning techniques to solve optimization and control problems. I am broadly interested in AI for decision-making, with applications in healthcare and public policy. My long-term goal is to make a real-world impact by enabling fast, effective, and socially beneficial decisions.”

Postdoctoral Fellow at Teamcore, Harvard

I am a postdoctoral fellow at Harvard, advised by Prof. Milind Tambe. I obtained my Ph.D. from Georgia Institute of Technology. My research focuses on developing reliable data-driven solutions for high-stakes decision-making scenarios. Specifically, I work on the following areas: (1) uncertainty quantification of deep neural networks, (2) controllable generation for decision-making under constraints, and (3) aligning learning with optimization for decision-making. On the practical side, I am passionate about interdisciplinary applications, including public health and scientific discovery.

Postdoctoral Fellow at Teamcore, Harvard

I am a postdoctoral fellow at Teamcore, Harvard University, under the supervision of Professor Milind Tambe. I obtained my Ph.D. in Data Science from the Department of Applied Mathematics and Statistics and the Department of Computer Science at Stony Brook University in 2024. My primary research interests include (i) online sequential decision making, (ii) asymptotically optimal index-policy design for restless multi-armed bandits, (iii) finite-time convergence and learning regret analysis for reinforcement learning, (iv) as well as decentralized optimization and multi-agent reinforcement learning. I am actively exploring broader social impacts for my research experience within Teamcore, particularly in public health and general social good.

Postdoctoral Fellow at Teamcore, Harvard

Davin is a postdoctoral fellow at Teamcore, Harvard University. He did his Ph.D. in Computer Science at the National University of Singapore (NUS), holds a Master’s degree from ETH Zürich, and earned two undergraduate degrees from NUS, in Computer Science and Applied Mathematics. He is broadly interested in designing practical algorithms with theoretical guarantees and analyzing existing heuristics by providing guarantees under real-world assumptions. During his Ph.D., his work primarily focused on designing and analyzing algorithms for learning causal and probabilistic models, as well as learning-augmented algorithms. He is currently actively exploring opportunities to apply principled algorithmic techniques to solve real-world problems and create a positive social impact.

Schmidt Science Fellow at Teamcore, Harvard and also affiliated with Harvard’s Center for Research on Computation and Society

Charles is a 2024 Schmidt Science Fellow at Teamcore, Harvard and also affiliated with Harvard’s Center for Research on Computation and Society. Working with spatial data collected by rangers across multiple African parks, he is using machine learning to identify patterns of poaching-related threats and ranger efforts, aiming to enhance the deterrent effect of patrols. 

Charles has a background in Conservation Biology and have extensively researched wild meat extraction and use in tropical regions, focusing on pangolins: the world’s only scaly mammals and one of the most heavily trafficked animals on earth. He earned my PhD in Zoology from the University of Cambridge (2019-24) as a Gates Cambridge Scholar and completed my MSc in Biodiversity, Conservation, and Management at the University of Oxford (2018-19) under a Commonwealth Scholarship.

Postdoctoral fellow at Harvard

I am a postdoctoral fellow in computer science and statistics co-advised by Milind Tambe and Francesca Dominici at Harvard University. My current work focuses on using foundation models to enhance AI agents by leveraging techniques such as reinforcement learning, LLMs, generative modeling, and causality. I have a particular interest in embodied and multi-agent systems, especially in domains with spatial and spatiotemporal structures like images, videos, geospatial data, and graphs. My work has applications for social impact and I have been recognized as a principal investigator in funded projects by the NSF and NIH. My research has been published in top-tier CS conferences such as NeurIPS, ICLR, KDD, and AAAI, as well as in scientific journals like Nature and the Proceedings of the National Academy of Sciences. I hold a Ph.D. from the University of Texas at Austin, where I was also a member of the Covid-19 Modeling Consortium and the UT Austin Villa Robotics team.

Postdoctoral fellow at Harvard

I am a fellow at the Teamcore Lab at Harvard University, advised by Prof. Milind Tambe.
I did my PhD in Computer Science at Bar-Ilan University in Israel.
My doctoral research is on intelligent agents and multi-agent systems, focusing on resource and task allocation problems involving topics such as optimization, fairness, and constraint relaxation by humans.
In addition to my academic journey, I have eight years of practical industry experience in recommender systems, audience targeting, computer vision, and behavior analysis.
In my research, I aim to model real-world problems—preferably those with positive social impact—and to develop algorithms that are both theoretically meaningful and practically useful.

PhD student in the Teamcore research group at Harvard University
Research Engineer at Singapore Management University (SMU)

Sanket Shah is a fourth-year PhD student in the Teamcore research group at Harvard University, advised by Prof. Milind Tambe. His current work focuses on Decision-Focused Learning, a paradigm for tailoring a predictive model for a downstream optimization task that uses its predictions.

Ph.D. Student, Teamcore Harvard

Shresth Verma is a first-year PhD student in the Teamcore research group. His research interests include bandits, reinforcement learning, and multi-agent systems with applications in public health and conservation. Previously, he was a Pre-Doctoral Researcher at Google Research India where he developed bandit models to improve health literacy for underserved communities in India.  He has also worked as a Data Scientist at United Health Group developing health risk models for millions of beneficiaries. He completed his bachelor’s and master’s studies in Information technology from IIIT Gwalior.

Ph.D. Student, Teamcore Harvard

Yuqi Pan is a first-year PhD student in the Teamcore research group, advised by Prof. Milind Tambe. She has previously worked in algorithmic game theory, particularly in information design. She is highly interested in modeling strategic agents and designing learning algorithms for social good.

Ph.D. Student, Teamcore Harvard

Haichuan Wang is an incoming PhD student in the Teamcore research group. He has done past work related to the modeling of academic publication market and cryptocurrency. His research interest lies broadly in the intersection of Economics and Computer Science, particularly their applications in solving social problems.

He previously attended the University of Chicago, where he was fortunate to be advised by Professor Haifeng Xu and Professor Anthony Lee Zhang. He completed B.S. degrees in Computer Science and Mathematics and a B.A. degree in Economics.

PhD Candidate in Computer Science, Harvard University

Paula Rodriguez Diaz is a PhD student studying Computer Science at Harvard University. She previously completed a B.Sc. in Mathematics and B.Sc. and M.Sc. in Industrial Engineering  from Universidad de Los Andes (Bogotá, Colombia).

Ph.D. Student, Teamcore Harvard

I am a PhD student working with Prof. David Parkes and Prof. Milind Tambe in the EconCS group at Harvard University. My primary research interest is machine learning for problems involving multiple agents, including computational economics and multi-agent coordination in games or complex systems like robotics.

Master’s Student at Teamcore

I am a current Master’s student at Harvard University and completing my thesis in the Teamcore group. My background is interdisciplinary with a focus on Applied Mathematics. I’m particularly interested in agent-based modelling and resource optimisation, and their applications in real and relevant settings. My prior work includes using automatic data generation to create datasets that can teach LLMs difficult mathematics, and modelling the effects of co-infection with COVID, TB and HIV on population infection dynamics. 

Master’s Student at Teamcore

Alayna Nguyen is a Master’s student in Computational Science and Engineering at Harvard. She has research experience in spoken language processing and is interested in exploring the application of computational methods to develop algorithms for social good.

Master’s Student at Teamcore, Harvard

Mingxiao Song is a Master’s student in Data Science at Harvard University, whose research interests lie at the intersection of artificial intelligence and humanity. With experience in natural language processing, generative AI, and computational social science, Mingxiao focuses on applying machine learning and data-driven models to critical domains such as society, climate, and the environment.

Vincent is a junior at Harvard College studying Computer Science and Mathematics. He is passionate about using machine learning and data science for applications in wildlife conservation, healthcare, and beyond.