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

Gati Aher
Olin College of Engineering
BS in Engineering
Advisor: Zack Lipton
Research Interests: ML for sequential decision-making

Daman Arora
IIT Delhi
BS.Tech & M.Tech in Computer Science
Advisor: Andrea Zanette
Research Interests: Machine Learning

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

Selina Carter
Georgetown University
MS in Math and Statistics
Advisor: Arun Kumar Kuchibhotla
Research Interests: Uncertainty quantification, recurrent neural networks, and reinforcement learning
Statistics & Machine Learning PhD Degree

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

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
Joint PhD in Statistics & Machine Learning

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

Logan Crowl
Carleton College
B.A. in Mathematics & Statistics
Advisor: Daniel Nagin
Research Interests: Machine Learning for Urban Systems (Crime, Transportation, and Education), Model-Based Hypothesis Generation
Machine Learning & Public Policy Joint PhD Degree

Namrata Deka
University of British Columbia
M.Sc. in Computer Science
IIIT Delhi
B.Tech. in Computer Science & Engineering
Advisor: Kun Zhang & Jeff Schneider
Research Interests: Causal Representation Learning, Computer Vision

Dongrui Deng
Xi'an Jiaotong University,
BS in Physics
Advisor: Xaq Pitkow
Research Interests: Theoretical Neuroscience and Machine Learning
Computational Neuroscience & Machine Learning Joint PhD Degree

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

Xueying Ding
Carnegie Mellon University
M.S. in Machine Learning
Advisor: Leman Akoglu
Research Interests: Anomaly Detection, Representation Learning
Machine Learning & Public Policy Joint PhD Degree

Zijun Ding
Tsinghua University
B.S. in Mathematics & B.A. in Economics
Advisor: Alessandro Acquisti
Research Interests: Economics of AI, Privacy-Preserving ML, Reinforcement Learning
Machine Learning & Public Policy Joint PhD Degree

Jin-Hong Du
University of Chicago
MS in Statistics
Advisors: Kathryn Roeder & Larry Wasserman
Research Interests: High-dimensional statistics, overparameterized learning, single-cell data analysis
Statistics & Machine Learning Joint PhD

Yewen Fan
University of Illinois at Urbana-Champaign
BS in Computer Science
Advisor: Kun Zhang
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

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

Tomás González Lara
Pontificia Universidad Católica de Chile
MS in Engineering
BSE in Mathematical Engineering
Advisors: Aaditya Ramdas, Giulia Fanti
Research interests: Optimization, differential privacy and ML theory

Gaurav Ghosal
University of California, Berkeley
B.S. in Electrical Engineering and Computer Science
Advisor: Aditi Raghunathan
Research Interests: Robust Machine Learning, Understanding Deep Learning

Karish Grover
Indraprastha Institute of Information Technology (IIIT Delhi)
B.Tech in Computer Science and Artificial Intelligence (CSAI)
Advisors: Christos Faloutsos & Geoff Gordon
Research Interests: Graph Machine Learning, Natural Language Processing, Knowledge Graphs, Hyperbolic Geometry

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

Saumya Goyal
Stanford University
MS in Computer Science
Advisor: Maria-Florina Balcan
Research Interests: Machine learning and deep learning theory

Yuxin Guo
Carnegie Mellon University,
B.S. in Electrical and Computer Engineering & Biomedical Engineering
Advisor: Pulkit Grover
Research Interests: Brain-Computer Interfaces, Computational Neuroscience, Optimization
Neural Computation & Machine Learning Joint PhD Degree

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: Deep Learning, Genomics, Spatial Biology, Representation Learning, Machine Learning, Interpretability

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

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

Niki Hasrati
University of WaterlooMaster of Mathematics (MMath) and Bachelor of Computer Science (BCS)
Advisor: Andrej Risteski
Research Interests: Computational learning theory, theoretical computer science

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)

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

Sukjun Hwang
Yonsei University
BS & MS in Computer Science
Advisor: Albert Gu
Research Interests: Deep Learning, Computer Vision, Representation Learning, Multi-task Multi-modal Learning

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

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: Hoda Heidari
Research Interests: Interpretability/explainability, transparency, robustness, human-AI interaction

Maxwell Jones
Carnegie Mellon University
BS in Artificial Intelligence
MS in Machine Learning
Advisor: Jun-Yan Zhu & Russ Salakhutdinov
Research Interests: Computer Vision, Generative Modeling

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
Efe Mert Karagozlu
Bilkent University
Bachelor of Science in Electrical and Electronics Engineering
Advisors: Jeff Schneider & Barnabas Poczos
Research Interests: Paradigms beyond supervised learning, uncertainty quantification for deep models, learning theory.

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

Aakash Lahoti
Carnegie Mellon University
MS in Machine Learning
Indian Institute of Technology Kanpur
BS in Computer Science and Engineering
Advisor: Albert Gu
Research Interests: Theoretical Machine Learning

Lane Lewis
University of Arizona
B.S. in Mathematics and Neuroscience
Advisor: Xaq Pitkow
Research Interests: Brain-inspired machine learning, Neural Networks, Computational Neuroscience
Computational Neuroscience & 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

Kevin Li
Georgia Institute of TechnologyB.Sc in Computer Science and B.Sc in Biomedical Engineering
Advisors: Albert Gu & Zico Kolter
Research Interests: Deep learning, computer vision, machine learning, robustness, and interpretability

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.

Isaac Liao
MIT
Master of Engineering, Electrical Engineering and Computer Science;
Bachelor of Science, double major Electrical Engineering and Computer Science, Physics
Advisor: Albert Gu
Research Interests: Variational Inference, Minimum Description Length, Deep Learning

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

Chang Liu
Tsinghua University
BEng. in Computer Science
Advisors: Artur Dubrawski
Research Interests: Machine Learning in Healthcare

Grace Liu
Princeton University
M.S.E. in Computer Science
B.S.E. in Computer Science
Advisor: Aarti Singh & Jeff Schneider
Research Interests: Computational Sustainability, AI for Social Good, Reinforcement 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

Yingtao Luo
Huazhong University of Science and TechnologyBS in Applied Physics
Advisor: Rema Padman
Research Interests: Sequential Decision-Making, Machine Learning, Deep Learning, ML for Science and Healthcare
Machine Learning & Public Policy Joint PhD Degree

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

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

Luca Masserano
Bocconi University
MS in Data Science
Advisors: Ann B. Lee, Barnabás Póczos
Research Interests: Uncertainty Quantification, Simulation-Based Inference, Probabilistic Forecasting, Optimization
Joint PhD in Statistics & Machine Learning

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

Yuki Minai
New York University,
MS of Arts and Science in Psychology, Neuroscience
Advisors: Byron Yu & Matthew Smith
Research Interests: Computational neuroscience, Dimensionality reduction, Control theory
Neural Computation & Machine Learning Joint PhD Degree

Kanad Pardeshi
IIT Bombay,
B. Tech. in Computer Science
Advisors: Aarti Singh & Bryan Wilder
Research Interests: Statistical ML, ML theory, ML algorithms

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

Shahriar Noroozizadeh
Carnegie Mellon University
MS in Machine Learning, MS in Bomedical Engineering
Advisors: George Chen, Jeremy Weiss (NIH)
Research Interests: Machine Learning for Healthcare, Representation Learning, Multimodal Machine Learning, Graphical Models, Decision Making, Reinforcement Learning, ML for Temporal Data, Interpretability
Joint PhD in Machine Learning & Public Policy

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

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

Yuxiao Qu
University of Wisconsin-Madison
BS in Computer Science and Mathematics
Advisors: Aviral Kumar & Russ Salakhutdinov
Research Interests: Reinforcement Learning, Foundation Model Agents

Naveen Raman
University of Maryland
BS in Computer Science
Advisor: Fei Fang
Research Interests: Machine Learning for Social Good

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

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

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

Deying Song
Peking University,
B.S. in Integrated Science
Advisors: Chengcheng Huang & Robert Kass
Research Interests: Computational Neuroscience
Neural Computation & Machine Learning Joint PhD Degree

Xiangchen Song
University of Illinois at Urbana-Champaign
B.S. in Mathematics and Computer Science
Advisors: Kun Zhang
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

Maitreyi Swaroop
IIT, Kharagpur
Integrated Master of Science (MSc + BSc Hons.) in Mathematics and Computing
Advisor: Bryan Wilder
Research Interests: Causal Machine Learning, Generalization and Robustness

Fahim Tajwar
Stanford University
BS in Mathematics, MS in Computer Science
Advisor: Russ Salakhutdinov & Jeff Schneider
Research Interests: Deployable machine learning, distribution shift robustness

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

Aravind Venugopal
Carnegie Mellon University,
MS in Machine Learning
Advisor: Jeff Schneider
Research Interests: Reinforcement Learning and Multi-Agent systems

Qiuhong Anna Wei
Brown University
B.S. in Math & Computer Science
Concurrent M.S. in Computer Science
Advisor: Ameet Talwalkar & Andrej Risteski
Research Interests: TBD

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

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

Stephan Xie
University of Pennsylvania
BSE in Computer Science & Mathematical Economics
Advisor: Ameet Talwalkar
Research Interests: Decision-making, reliability, social and scientific impact in ML and deep learning

Nuoya Xiong
IIIS Tsinghua University
BS in Computer Science
Advisor: Aarti Singh
Research Interests: Machine Learning, Optimization, Reinforcement Learning

Khurram Yamin
Georgia Tech
BS in Industrial and Systems Engineering
Advisors: Bryan Wilder & Edward Kennedy
Research Interests: Causal inference and the development of machine learning algorithms that enhance social good through tackling policy issues.

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: Bhiksha Ramakrishan
Research Interests: Deep learning and representation learning

Jacob Yeung
UC Berkeley
B.S. in EECS
Advisor: Michael Tarr
Research Interests: Computational Neuroscience, Computer Vision
Neural Computation & Machine Learning Joint PhD Degree

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

Wenbin Zhou
University of Science and Technology of China
B.S. in Statistics
Advisor: Shixiang Woody Zhu
Research Interests: Statistical Machine Learning, Decision Making, Uncertainty Quantification
Machine Learning & Public Policy Joint PhD Degree