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
Amanda Coston
Princeton University
BSE in Computer Science
Advisors: Alexandra Chouldechova, Edward Kennedy, Roni Rosenfeld
Research Interests: Algorithmic Decision Support Systems, Fairness, Causal Inference, Transfer Learning.
Machine Learning & Public Policy 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
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
Kin Gutierrez Olivares
Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics
Advisor: Artur Dubrawski
Research Interests: Optimization and Statistical Learning Theory
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
Joon Sik Kim
California Institute of Technology
BS in Computer Science
Advisor: Ameet Talwalkar
Research Interests: Interpretable/explainable machine learning, Human-AI interaction, Deep learning
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
Natalia L. de Oliveira
Federal University of Sao Carlos and University of Sao Paulo
MS in Statistics
Advisors: Ryan Tibshirani & Jing Lei
Research Interests: statistical machine learning, out-of-sample error estimation, randomization-based methods to improve generalization, Bayesian methods.
Statistics & Machine Learning Joint PhD Degree
Darby Losey
University of Washington
BS in Computer Science, Neurobiology
Advisors: Byron Yu & Steve Chase
Research Interests: Brain-Computer Interfacing, Computational Neuroscience,Dimensionality Reduction, Signal Processing
Neural Computation & Machine Learning Joint PhD Degree
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
Gregory Plumb
University of Wisconsin, Madison
BS in Computer Science
Advisor: Ameet Talwalkar
Research Interests: Theoretical Machine Learning, Deep Learning
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
Ivan Stelmakh
Moscow Institute of Physics and Technology
BS in Computer Science
Advisors: Nihar Shah & Aarti Singh
Research Interests: Statistical Learning Theory, Learning form People, Theoretical Machine Learning
Haitian Sun
Carnegie Mellon University
MS in Machine Learning
Advisor: Ruslan Salakhutinov
Research Interests: Machine Learning, Deep Learning, Natural Language Processing, Question Answering
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
Maxwell Wang
Washington University in St. Louis
BS in Electrical Engineering
Advisors: Avniel Ghuman, Max G'Sell, and Rob Kass
Research Interests: dynamical systems, neuroscience, and medicine
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
David Zhao
Harvard University
Bachelor of Arts in Applied Mathematics
Advisor: Ann Lee
Research Interests: Statistical Machine Learning, Likelihood-free Inference, Uncertainty Quantification, Applications to Astronomy and Physics
Statistics & Machine Learning Joint PhD Degree
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
