PhD Students
The ordering on this page is randomized (as opposed to ordering alphabetically). Read more about biases due to alphabetical ordering.
Ananye Agarwal
Indian Institute of Technology Delhi
B.Tech in Computer Science and Engineering
Advisor: Deepak Pathak
Research Interests: Reinforcement Learning, Robot Learning

Nil-Jana Akpinar
University of Freiburg
Master of Science in Mathematics
Advisors: Alexandra Chouldechova & Zack Lipton
Research Interests: Statistical methodology, ML in high-stakes decision settings and fairness, accountability and transparency in ML.
Statistics & Machine Learning Joint PhD Degree

Arish Alreja
Georgia Institute of Technology
BS & MS in Electrical Engineering
Advisor: Rob Kass, Avniel S. Ghuman
Research Interests: Biological and Computer Vision, Unsupervised Learning, Dimensionality Reduction, Signal Processing, Computational Modelling of Neural Activity for Human Visual Cognitive Processes, Theory in Computational Neuroscience, Analysis of Time Series from Neural Data (human intracranial EEG, electrophysiology), Reinforcement Learning.
Neural Computation & Machine Learning Joint PhD Degree

Ifigeneia Apostolopoulou
University of Thessaly at Volos
BS in Electrical & Computer Engineering
Advisor: Artur Dubrawski
Research Interests: Pattern Mining, Statistical Machine Learning

Christina Baek
UC Berkeley
BS and MS in EECS
Advisor: Zico Kolter & Aditi Raghunathan
Research Interests: Generalization, continual learning, robustness

Anna Bair
Massachusetts Institute of Technology
SB & MEng in Computer Science
Advisor: Zico Kolter
Research Interests: Theoretical Machine Learning, Fairness, Complex Systems

Arundhati Banerjee
Indian Institute of Technology, Kharagpur
BTech & MTech in Computer Science and Engineering
Advisor: Jeff Schneider
Research Interests: Reinforcement Learning, Sequential decision making, Active Search and Tracking

Emily Byun
Brown University
BS in Physics, BA in Computer Science
Advisors: Zack Lipton & Bryan Wilder
Research Interests: Robustness, Fairness, ML for Healthcare

Sebastian Caldas
Universidad de los Andes
BS in Systems & Computing Engineering
Advisor: Artur Dubrawski
Research Interests: Machine learning for healthcare and the developing world. Transfer Learning

Cristian Challu
Instituto Tecnologico Autonomo de Mexico
MS in Data Science
Advisor: Artur Dubrawski
Research Interests: Optimization, Statistical Machine Learning, Reinforcement Learning

Ian Char
University of Colorado Boulder
BS in Computer Science & BS/MS in Applied Math
Advisor: Jeff Schneider
Research Interests: AI, Graphical Probabilistic Models, Statistical Machine Learning, and Reinforcement Learning

Lili Chen
University of California, Berkeley
BA in Computer Science
Advisor: Deepak Pathak
Research interests: deep learning, reinforcement learning, unsupervised learning, robotics

Valerie Chen
Yale University
BS in Computer Science
Advisor: Ameet Talwalkar
Research interests: Principled approaches to fairness, accountability, and transparency in machine learning

Cheng Cheng
University of Southern California
BS in computer science & BS in Econ/Math
Advisors: Jeremy Weiss
Research Interests: Machine Learning for Healthcare, NLP, representation learning, and transfer learning
Machine Learning & Public Policy Joint PhD Degree

YJ Choe
University of Chicago
BS in Mathematics and Computer Science
Advisor: Aaditya Ramdas
Research Interests: Sequential Inference, Forecasting, Game-Theoretic Statistics, Deep Learning, Natural Language Processing
Statistics & Machine Learning Joint PhD Degree

Youngseog Chung
Carnegie Mellon University
MS in Machine Learning
Advisor: Jeff Schneider
Research Interests: Uncertainty quantification, decision making and control, causal inference

Ben Chugg
University of Oxford
MSc in Mathematics
Advisor: Aaditya Ramdas
Research Interests: Online learning, sequential decision-making, randomized algorithms

Jeremiah Cohen
Princeton University
B.S.E in Computer Science
Advisor: Zico Kolter & Ameet Talwalkar
Research Interests: Machine Learning and Optimization

Santiago Cortés
Universidad de los Andes
BSc Mathematics
Advisor: Bryan Wilder
Research Interests: Machine Learning for Healthcare and Public Health

Don Dennis
Indian Institute of Technology, Patna
B. Tech, Computer Science and EngineeringAdvisor: Virginia Smith
Research Interests: Statistical Machine Learning, Optimization, Resource Constrained ML

Ben Eysenbach
Massachusetts Institute of Technology
BS in Mathematics
Advisor: Ruslan Salakhutdinov
Research Interests: Reinforcement Learning

Yewen Fan
University of Illinois at Urbana-Champaign
BS in Computer Science
Advisor: Peter Spirtes
Research Interests: Deep Learning, Learning Theory, Optimization, Recommendation Systems

Zhili Feng
University of Wisconsin
MS in Computer Science
Advisor: Zico Kolter
Research Interests: Machine Learning Theory

Euxhen Hasanaj
Carnegie Mellon UniversityMS in Machine Learning
Advisor: Ziv Bar-Joseph, Barnabas Poczos
Research Interests: Unsupervised Learning, Genomics, Non-Convex Optimization

Nupoor Gandhi
University of Illinois at Urbana-Champaign
B.S. in Computer Science
Advisor: Alexandra Chouldechova
Research Interests: Natural Language Understanding, Computational Psycholinguistics, Computational Social Science
Machine Learning & Public Policy Joint PhD Degree

Saurabh Garg
Indian Institute of Technology, Bombay
BTech in Computer Science & Engineering
Advisors: Zack Lipton & Siva Balakrishnan
Research Interests: Machine Learning

Théophile Gervet
McGill University
BS in Computer Science
Advisor: Katerina Fragkiadaki
Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

Sachin Goyal
IIT Bombay
BTech in Electrical Engineering
Advisor: Zico Kolter
Research Interests: Robustness, Domain Generalization, Out of Distribution detection

Chirag Gupta
Indian Institute of Technology, Kanpur
B.Tech, Computer Science and Engineering
Advisor: Aaditya Ramdas
Research Interests: Optimization, Statistics aspects of Learning, Causal Inference

Kartik Gupta
Indian Institute of Technology (IIT), Madras
BTech in Computer Science & Engineering
Advisor: Pradeep Ravikumar
Research Interests: Statistical Machine Learning and Optimization

Shantanu Gupta
Nanyang Technological University
B.Eng. in Computer Science
Advisors: Zack Lipton & David Childers
Research Interests: Causal inference, sequential decision making

Ellie Haber
New York University
BS in Computer Science
Advisor: Jian Ma
Research Interests: Computer vision, deep learning, robustness

Keegan Harris
Pennsylvania State University
BS in Computer Science
BS in Physics
Advisors: Nina Balcan & Steven Wu
Research Interests: algorithmic game theory, economics & computation, online learning

Kelly He
Stanford University
Master's of Science in Computer Science
University of Rochester
Bachelor of Science in Mathematics
Bachelor of Science in Data Science
Advisor: Zico Kolter
Research Interests: Generative Modeling, Representation Learning, Deep Learning, Machine Learning, Computer Vision

Jennifer Hsia
Princeton University
B.S.E. in Computer Science
Advisors: Zack Lipton & Aarti Singh
Research Interests: Human-centered machine learning (fairness, interpretability)

Addison Hu
Yale University
BS in Statistics
Advisor: Ryan Tibshirani
Research Interests: Statistical machine learning, optimization
Statistics & Machine Learning Joint PhD Degree

Shengyuan Hu
Cornell University
B.A. in Computer Science and Mathematics
Advisor: Virginia Smith
Research interests: Federated Learning, Privacy Preserving Machine Learning, Robustness

Conor Igoe
University College Dublin
B.E. in Electronic Engineering
Advisor:Jeff Schneider
Research Interests: Optimization, Algorithmic Game Theory, Bayesian modeling

Elias Jaasaari
University of Helsinki
MS in Computer Science
Advisor: Tianqi Chen
Research Interests: Automated, scalable, and fair machine learning

Yiding Jiang
UC Berkeley
BS in EECS
Advisor: Zico Kolter
Research Interests: Deep Learning, Reinforcement Learning

Nari Johnson
Harvard University
BA and MSc in Computer Science
Advisor: Ameet Talwalkar
Research Interests: Interpretability/explainability, transparency, robustness, human-AI interaction

Stefani Karp
Princeton University
BSE in Computer Science
Advisor: Aarti Singh
Research Interests:

Chris Ki
UC Berkeley
BA in Computer Science and Molecular Cell Biology: Neurobiology
Advisors: Byron Yu & Matthew Smith
Research Interests: Brain-Computer Interfaces, Dimensionality Reduction, Computational Neuroscience
Neural Computation & Machine Learning Joint PhD Degree

Juyong Kim
Seoul National University
MS in Computer Science and Engineering
BS in Electrical and Computer Engineering
Advisors: Pradeep Ravikumar & Jeremy Weiss
Research Interests: Deep Learning, Computer Vision
Daniel Jeong
Columbia University
B.S. in Computer Science
Advisors: Pradeep Ravikumar & Zack Lipton
Research Interests: Statistical Machine Learning, Robustness, Machine Learning for Healthcare

Jing Yu Koh
Singapore University of Technology and Design
B.E. in Information Systems
Advisor: Deniel Fried & Russ Salakhutdinov
Research Interests: Machine Learning, Multi-modal Learning

Jayanth Koushik
Carnegie Mellon University
MS in Computational Data Science
Advisors: Aarti Singh, Michael Tarr
Research Interests: Computer Vision
Neural Computation & Machine Learning Joint PhD Degree

Alex Li
University of California, Berkeley
BS, MS in EECS
Advisor: Deepak Pathak
Research Interests: Continual Learning, Reinforcement Learning, Robustness, Optimization

Oscar Li
Duke University
BS in Mathematics; BS in Computer Science
Advisor: Virginia Smith
Research Interests: Reinforcement Learning, Lifelong Learning, Interpretable Machine Learning, Computer Vision

Shanda Li
Peking University
B.Sc in Computer Science
Advisor: Yiming Yang
Research Interests: Machine Learning

Yuchen Li
University of Illinois at Urbana-Champaign
B.S. Statistics and Computer Science, Mathematics
Advisor: Andrej Risteski
Research Interests: Machine learning, natural language processing, and data mining. My long-term goals include improving mathematical understanding of empirical phenomena, and developing principled approaches to modern deep learning applications.

Paul Liang
Carnegie Mellon University
M.S. in Machine Learning, B.S. in Computer Science
Advisors: Louis-Philippe Morency & Ruslan Salakhutdinov
Research Interests: Multimodal Machine Learning, Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

Victoria Lin
Carnegie Mellon University
MS in Computational Data Science
Harvard University
BA in Statistics and Molecular & Cellular Biology
Advisors: Louis-Philippe Morency & Edward Kennedy
Research Interests: Causal inference, natural language processing

Bingbin Liu
Stanford University
MS in Computer Science
Advisors: Pradeep Ravikumar & Andrej Risteski
Research Interests: Interpretability, representation learning, data efficiency

Leqi Liu
Bryn Mawr College
BA in Computer Science
Advisor: Zachary Lipton
Research Interests: Artificial Intelligence; Statistical Machine Learning; Reinforcement Learning; Fairness, Accountability and Transparency in Machine Learning

Terrance Liu
Carnegie Mellon University
MS in Machine Learning
Advisor: Steven Wu
Research Interests: privacy-preserving machine learning

Yusha Liu
Carnegie Mellon University
MS in Machine Learning
Advisor: Aarti Singh
Research Interests: Sequential decision making; Active learning

Andrew Luo
Massachusettss Institute of TechnologyBS in Computer Science
Advisors: Mike Tarr & Leila Wehbe
Research Interests: Computational neuroscience, 3D generative models, multimodal learning
Neural Computation & Machine Learning Joint PhD Degree

Pratyush Maini
IIT, Dehli
B.Tech in Computer Science and Engineering
Advisors: Zico Kolter & Zack Lipton
Research Interests: Trustworthy Machine Learning

Mahbod Majid
University of Waterloo
MMath in Computer Science
Sharif University of Technology
BSc in Computer Engineering
Advisor: TBD
Research Interests: algorithms, theoretical machine learning, sum of squares optimization, differential privacy, high dimensional statistics

Tanya Marwah
Carnegie Mellon University
MS in Robotics
Advisors: Zack Lipton & Andrej Risteski
Research Interests: Reinforcement Learning, Machine Learning, Optimization

Abhinav Maurya
(On Leave)
Indian Institute of Technology Bombay
M.Tech. in Computer Science and Engineering
Advisor: Rahul Telang
Research Interests: Machine Learning, Data Science, Computational Social Science, Public Policy
Machine Learning & Public Policy Joint PhD Degree

Stephanie Milani
University of Maryland, Baltimore County
BS in Computer Science & BA in Psychology
Advisor: Fei Feng
Research Interests: Sequential decision making, Artificial Intelligence, Reinforcement learning

So Yeon (Tiffany) Min
Massachusetts Institute of Technology
B.S. & M.Eng. in EECS
Advisors: Ruslan Salakhutdinov & Yonatan Bisk
Research Interests: Deep learning with domain knowledge

Renato Negrinho
Instituto Superior Tecnico, Portugal
MS in Electrical and Computer Engineering
Advisors: Geoff Gordon & Matt Gormley
Research Interests: Statistical Machine Learning, Optimization, Natural Language Processing

Ojash Neopane
University of California, San Diego
BS in Electrical & Computer Engineering, Mathematics
Advisor: Aaditya Ramdas & Aarti Singh
Research Interests: Sequential Analysis, Reinforcement Learning

Anh Tuan Nguyen
Hanoi University of Science and Technology
BS in Applied Mathematics and Informatics, School of Applied Mathematics and Informatics
Advisor: Nina Balcan
Research Interests: Distributional Robustness, Robust Optimization

Inioluwa Oguntola
MIT
ME & BS in Computer Science
Advisor: Katia Sycara
Research Interests: Deep learning, multimodal learning, computer vision, natural language processing

Motolani Olarinre
New Jersey Institute of Technology
MS in Computational Biology
Advisor: Robert Kass
Research Interests: Statistical Machine Learning and Reinforcement Learning

Tara Pirnia
University of California, Los Angeles
B.S. in Neuroscience
Advisor: Tom Mitchell
Research Interest: Machine learning, signal processing, and neural computation. In particular,
modeling neural mechanism of speech production.
Neural Computation & Machine Learning Joint PhD Degree

Aleksandr (Sasha) Podkopaev
Moscow Institute of Physics and Technology, MS in Applied Mathematics and Physics
Skolkovo Institute of Science and Technology,MS in Mathematics and Computer Science
Advisor: Aaditya Ramdas
Research Interests: Statistical Modeling of Neural Signals, Statistical Learning Theory, Optimization, Implicit Algorithmic Regularization
Statistics & Machine Learning Joint PhD Degree

Ashwini Pokle
Stanford University
MS in Computer Science
Advisor: Zico Kolter
Research Interests: Multi-task learning, Reinforcement learning, Generative Modelling, 2D Vision

Rattana Pukdee
University of Oxford
Master in Mathematics
Advisors: Nina Balcan & Pradeep Ravikumar
Research Interests: Robustness, Fairness, ML in public policy

Charvi Rastogi
Indian Institute of Technology, Bombay
B.Tech/M.Tech in Electrical Engineering
Advisors: Nihar Shah, Kenneth Holstein
Research Interests: Statistical Machine Learning, Learning Theory, Learning from People, Crowdsourcing

Elan Rosenfeld
Carnegie Mellon University
BS in Computer Science, Statistics & Machine Learning
Advisors: Pradeep Ravikumar & Andrej Risteski
Research Interests: Statistical machine learning, computational learning theory, graphical models, neural networks

Aaron Rumack
Cornell University
BS in Computer Science
Advisor: Roni Rosenfeld
Research Interests: applied machine learning and computational biology

Dylan Sam
Brown University
BS in Computer Science and Mathematics
Advisor: Zico Kolter
Research Interests: Statistical Machine Learning

Gabriel Sarch
University of Rochester
BS in Biomedical Engineering
Advisors: Katerina Fragkiadaki, Michael Tarr
Research Interests: Deep Learning, Computer and Human Vision, Embodied AI, Computational Neuroscience
Neural Computation & Machine Learning Joint PhD Degree

Robin Schmucker
Karlsruhe Institute of Technology
B.Sc. in Informatics
Advisor: Tom Mitchell
Research Interests: learning from time series data, recommendation systems, machine learning for education
Amrith Setlur
Carnegie Mellon University
MS in Language Technologies
Advisor: Virginia Smith
Research Interests: Statistical Machine Learning, Sequential Decision Making

Shubhranshu Shekhar
Indian Institute of Technology Madras, Chennai
MS in Computer Science and Engineering
Advisor: Leman Akoglu
Research Interests: Data Mining, Anomaly Detection, Medical and Social Science Applications
Machine Learning & Public Policy Joint PhD Degree

Junhong Shen
UCLA
B.S. in Mathematics of Computation,
Advisor: Ameet Talwalkar
Research Interests: Statistical machine learning with a focus on automation and interpretability

Samuel Sokota
University of Alberta
MS in Computer Science
Swarthmore College
BA in Mathematics
Advisor: Zico Kolter
Research Interests: Machine Learning, Reinforcement Learning, Game Theory, Online Learning, Optimization

Xiangchen Song
University of Illinois at Urbana-Champaign
B.S. in Mathematics and Computer Science
Advisors: Peter Spirtes & Eric Xing
Research Interests: Machine Learning and Data Mining

Yuda Song
Carnegie Mellon University
MS in Machine Learning
Advisor: Aarti Singh & Drew Bagnell
Research Interests: Reinforcement Learning

Jacob Springer
Swarthmore College
BA in Mathematics and Computer Science
Advisor: Aditi Raghunathan
Research Interests: generalization, robustness, machine learning at scale

Ryan Steed
George Washington University
BS in Computational Economics
Advisor: Alessandro Acquisti
Research Interests: privacy & ethics in algorithmic systems
Machine Learning & Public Policy Joint PhD Degree

Jinjin Tian
University of Science and Technology of China
BS in Statistics
Advisors: Jing Lei & Kathryn Roeder
Research Interests: unsupervised methods and theory (e.g. statistical gene networks, self-supervised learning).
Statistics & Machine Learning Joint PhD Degree

Brandon Trabucco
UC Berkeley
B.S. in EECS
Advisor: Russ Salakhutdinov
Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Models

Che-Ping Tsai
National Taiwan University
BS in Electronic Engineering and Mathematics,
MS in Computer Science
Advisor: Pradeep Ravikumar
Research Interests: Interpretability and Natural language processing

Jacob Tyo
West Virginia University
M.S. & B.S. in Electrical Engineering
Advisor: Zachary Lipton
Research Interests: Artificial Intelligence, Reinforcement Learning, Unsupervised Learning, Causal Inferencing, Active Learning

Akash Umakantha
Vanderbilt University
B.S.E. in Electrical Engineering and Biomedical Engineering
Advisor: Byron Yu & Matthew Smith (University of Pittsburgh)
Research Interests:Latent variable models, dynamical systems, visual neuroscience, computational neuroscience
Neural Computation & Machine Learning Joint PhD Degree

Aria Yuan Wang
UC Berkeley
BA in Statistics and Cognitive Science
Advisors: Mike Tarr, Leila Wehbe
Research Interests: Computer and Human Vision, Computational neuroscience
Neural Computation & Machine Learning Joint PhD Degree

Zixin Wen
University of International Business and Economics in China
B.A. in Financial Mathematics
Advisors: Yuanzhi Li & Yuejie Chi
Research Interests: Deep Learning Theory

Ezra Winston
Carnegie Mellon University
MS in Machine Learning
Advisor: Zico Kolter
Research Interests: Natural language understanding, representation learning

Shenghao Wu
City University of Hong Kong, B.S. in Computing Mathematics;
Columbia University, B.A. in Mathematics & Statistics
Advisors: Byron Yu & Matthew Smith & Brent Doiron (University of Chicago)
Research Interests: computational neuroscience, dimensionality reduction, spiking neural networks
Neural Computation & Machine Learning Joint PhD Degree

Tom Yan
Massachusetts Institute of Technology
BS & MEng in EECS
Advisors: Ariel Procaccia & Zack Lipton
Research Interests: Principled approaches to Machine Learning & Artificial Intelligence

Tian Ye
Tsinghua University
B.E. in Computer Science
Advisor: Yuanzhi Li
Research Interests: Deep learning and representation learning

Chih-Kuan Yeh
National Taiwan University
BS in Electronic Engineering
Advisor: Pradeep Ravikumar
Research Interests: deep learning algorithms and its application in computer vision, artificial intelligence, and natural language processing. I'm also interested in transfer learning, generative model, and deep reinforcement learning

Rebecca Yu
Johns Hopkins University
BS in Biomedical Engineering & BS in Computer Science
Advisor: Hoda Heidari
Research Interests: deep learning, machine learning for healthcare, robustness and fairness in ML applications, interpretability

Catherine Zeng
Harvard University
MS in Computer Science
B.A. in Computer Science and Mathematics
Advisor:
Research Interests:
Currently on Leave of Absence

Lingxiao Zhao
Carnegie Mellon
MS in Electrical and Computer Engineering
Advisors: Leman Akoglu & Aarti Singh
Research Interests: machine learning on graph
Machine Learning & Public Policy Joint PhD Degree

Chenghui Zhou
McGill University, B.S. in Computer Science
Advisor: Barnabas Poczos
Research Interests: learning from time series data, statistical machine learning, spectral learning

Helen Zhou
Massachusetts Institute of Technology
B.S. and M.Eng. in Computer Science and Electrical Engineering
Advisor: Zachary Lipton
Research Interests: deep learning, representation learning, bayesian methods, natural language processing, machine learning for healthcare