The ordering on this page is randomized (as opposed to ordering alphabetically).
Read more about biases due to alphabetical ordering.
Arish Alreja
Georgia Institute of Technology
BS & MS in Electrical Engineering
Advisor: Max G'Sell, 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
Maruan Al-Shedivat
KAUST
MS in Computer Science
Moscow State University
BS in Physics
Advisor: Eric Xing
Research Interests: Statistical Learning Theory, Learning Representations, Semi-Supervised and Transfer Learning
Siddharth Ancha
University of Toronto
MS in Computer Science
Advisor: David Held
Research Interests: MCMC Inference, Deep Learning, Computer Vision
Ifigeneia Apostolopoulou
University of Thessaly at Volos
BS in Electrical & Computer Engineering
Advisor: Artur Dubrawski
Research Interests: Pattern Mining, Statistical Machine Learning
Shaojie Bai
Carnegie Mellon University
BS in Computer Science
Advisor: Zico Kolter
Research Interests: Deep Learning, Sequence Modeling, Optimizations
Arundhati Banerjee
Indian Institute of Technology, Kharagpur
BTech & MTech in Computer Science and Engineering
Advisor: Jeff Schneider
Research Interests: Theoretical Machine Learning, Deep Learning, Decision Theory and Planning
Jonathon Byrd
Morehead State University
BS in Computer Science
Advisor: Zack Lipton
Research Interests:ML on graph and molecule data, transfer learning and metalearning, reinforcement learning, search and optimization.
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
Devendra Chaplot
Indian Institute of Technology, Bombay
BTech in Computer Science and Engineering
Advisor: Ruslan Salakhutdinov
Research Interests: Deep Reinforcement Learning, NLP, Robotics, AI
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
Yu Chen
Boston University
MS in Computer Engineering
Advisors: Rob Kass
Research Interests: Machine learning, computational neuroscience, brain networks, point process.
Neural Computation & Machine Learning Joint PhD Degree
Jeremiah Cohen
Princeton University
B.S.E in Computer Science
Advisor: Zico Kolter & Ameet Talwalkar
Research Interests: Machine Learning and Optimization
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
Maria De-Arteaga
Universidad Nacional de Colombia
BS in Mathematics
Advisor: Artur Dubrawski
Research Interests: Algorithmic fairness and accountability, Human-centered machine learning, Decision support, Machine learning for sustainable development.
Machine Learning & Public Policy Joint PhD Degree
Kumar Avinava Dubey
Indian Institute of Technology (IIT), Bombay, Mumbai India
MS in Technology, Computer Science & Engineering
Advisor: Eric Xing
Research Interests: Non-Parametric and Semi-Supervised Learning in Probabilistic Graphical Models
Collin Eubanks
Carnegie Mellon University, MS in Machine Learning
University of Kansas, BS in Mathematics
Advisors: Larry Wasserman, Rupert Croft, Jessi Cisewski
Research Interests: Data Mining, Spatio-Temporal Modeling, Statistical Machine Learning, High-Dimensional Statistics, Applications to Cosmology
Statistics & Machine Learning Joint PhD Degree
Ben Eysenbach
Massachusetts Institute of Technology
BS in Mathematics
Advisor: Ruslan Salakhutdinov
Research Interests: Reinforcement Learning
Zhili Feng
University of Wisconsin
MS in Computer Science
Advisor: David Woodruff
Research Interests: Machine Learning Theory
Dylan Fitzpatrick
Carnegie Mellon University
MS in Computer Science
Advisor: Daniel Neill
Research Interests: Forecasting and Prediction in Spatiotemporal Data for Urban Analytics, Natural Resource Management, and Conservation Ecology
Machine Learning & Public Policy Joint PhD Degree
Saurabh Garg
Indian Institute of Technology, Bombay
BTech in Computer Science & Engineering
Advisors: Zack Lipton & Zico Kolter
Research Interests: Machine Learning
Théophile Gervet
McGill University
BS in Computer Science
Advisor: Jeff Schneider & Tom Mitchell
Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Graphical Models
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
William Guss
University of California, Berkeley
BA in Pure Mathematics
Advisor: Ruslan Salakhutdinov
Research Interests: Deep Learning Theory, Deep Reinforcement Learning, Automated Machine Learning, Applied Algebraic Topology, and Functional Analysis
Kin Gutierrez Olivares
Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics
Advisor: Artur Dubrawski
Research Interests: Optimization and Statistical Learning Theory
Yotam Hechtlinger
Carnegie Mellon University
MS in Machine Learning
Tel Aviv University
MS in Statistics
Advisors: Larry Wasserman & Alessandro Rinaldo
Research interests: Conformal Prediction, Convolutional Neural Networks, Post-Selection Inference
Statistics & Machine Learning Joint PhD Degree
Jay Hennig
University of Texas at Austin
BS in Pure Mathematics
Advisors: Byron Yu & Steve Chase
Research Interests: Computational neuroscience, statistical machine learning
Neural Computation & Machine Learning Joint PhD Degree
William Herlands
Princeton University
BSE in Electrical Engineering
Advisor: Daniel Neill
Research Interests: Predictive modeling, machine-aided medical diagnosis, robotics, swarm systems, cybersecurity
Machine Learning & Public Policy Joint PhD Degree
Tim Hsieh
Stanford University
MS in Computer Science
Advisor: Pradeep Ravikumar
Research Interests: Machine Learning, Learning theory, Theoretical Computer Science
Zhiting Hu
Beijing University
B.S. in Computer Science
Research Interests: Deep learning, Bayesian methods, large-scale machine learning, natural language process, computer vision
Advisor: Eric Xing
Conor Igoe
University College Dublin
B.E. in Electronic Engineering
Advisor: Stephen Smith
Research Interests: Optimization, Algorithmic Game Theory, Bayesian modeling
Stefanie Karp
Princeton University
BSE in Computer Science
Advisor: Aarti Singh
Research Interests:
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
Advisor: Pradeep Ravikumar
Research Interests: Deep Learning, Computer Vision
Kwangho Kim
Stanford University, MS in Statistics
KAIST, B.S. in Mathematics & B.S in Electrical Engineering
Advisors: Barnabas Poczos & Edward Kennedy
Research Interests: Causal inference with longitudinal data, Statistical machine learning, Developing novel analytical methods
Statistics & Machine Learning Joint PhD Degree
Lisa Lee
Princeton University, A.B. in Mathematics
Advisors: Ruslan Salakhutdinov & Eric Xing
Research Interests: Deep reinforcement learning, meta-learning, intrinsically motivated learning, hierarchical planning
Liam Li
Caltech
BA.Sc. in Applied Math
Advisor: Ameet Talwalkar
Research Interests: AutoML, hyperparameter optimization, neural architecture search, deep learning, reinforcement learning
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
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
Chieh Lin
National Taiwan University
MS in Computer Science and Information Engineering
Advisor: Ziv Bar-Joseph
Research Interests: Computational Biology, Bioinformatics, Cheminformatics and Machine Learning
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
Yusha Liu
Carnegie Mellon University
MS in Machine Learning
Advisor: Aarti Singh
Research Interests: Sequential decision making; Active learning
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
Micol Marchetti-Bowick
Stanford University
MS & BS in Computer Science
Advisor: Eric Xing
Research Interests: Probabilistic Graphical Models, Computational Biology
Kenneth Marino
Georgia Institute of Technology
BS in Computer Engineering
Advisor: Abhinav Gupta
Research Interests: Deep Learning, Computer Vision, Unsupervised and Semi-supervised Learning
Tanya Marwah
Carnegie Mellon University
MS in Robotics
Advisors: Zack Lipton & Andrey Risteski
Research Interests: Reinforcement Learning, Machne Learning, Optimization
Abhinav Maurya
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
Calvin Murdock
Washington University, St. Louis
BS in Computing
Advisor: Simon Lucey
Research Interests: Computer Vision, Unsupervised Learning, High-dimensional Time Series
Renato Negrinho
Instituto Superior Tecnico, Portugal
MS in Electrical and Computer Engineering
Advisor: 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
Ritesh Noothigattu
Indian Institute of Technology, New Delhi
B.Tech. in Computer Science and Engineering
Advisor: Ariel Procaccia
Research Interests: Machine Learning, Computational Social Choice, Artificial Intelligence
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
Josue Orellana
Washington State University
B. S. in Electrical Engineering
Advisors: Rob Kass
Research Interests: Graphical network modeling of high-dimensional data, Brain region interactions, Multivariate analysis of phase data
Neural Computation & Machine Learning Joint PhD Degree
Biswajit Paria
Indian Institute of Technology Kharagpur,
BS & MS in Computer Science and Engineering
Advisors: Barnabas Poczos & Jeff Schneider
Research Interests: Statistical and theoretical machine learning
Emilio Parisotto
University of Toronto
BS in Computer Science
Advisor: Ruslan Salakhutdinov
Research Interests: Deep Reinforcement Learning, Generative Models, and Multitask and Transfer Learning in the RL setting. In particular, I am currently interested in more sophisticated memory systems for deep reinforcement learning agents that can allow them to operate in rich 3D environments
Pratik Patil
University of Toronto
MASc in Electrical & Computer Engineering
MS in Statistics
Advisor: Ryan Tibshirani
Research Interests: Statistical Machine Learning, Information Theory, Optimization
Statistics & Machine Learning Joint PhD Degree
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
Anthony Platanios
Imperial College London
ME in Electrical & Electronic Engineering
Advisor: Tom Mitchell
Research Interests: Machine Learning and Non-Parametric Statistics
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: Rob Kass
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: Katerina Fragkiadaki
Research Interests: Multi-task learning, Reinforcement learning, Generative Modelling, 2D Vision
Adarsh Prasad
Indian Institute of Technology, Delhi
B.Tech in Electrical Engineering
Advisor: Pradeep Ravikumar
Research Interests: High Dimensional Statistics, Optimization, Ranking and Quantitative Trading
Charvi Rastogi
Indian Institute of Technology, Bombay
B.Tech/M.Tech in Electrical Engineering
Advisors: Nihar Shah, Siva Balakrishnan
Research Interests: Statistical Machine Learning, Learning Theory, Learning from People, Crowdsourcing
Elan Rosenfeld
Carnegie Mellon University
BS in Computer Science, Statistics & Machine Learning
Advisor: Pradeep Ravikumar
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
Abulhair Saparov
Princeton University
B.S.E. in Computer Science
Advisor: Tom Mitchell
Research Interests: Scalable machine learning, AI, algorithms, Bayesian statistical methods, natural language processing.
Robin Schmucker
Karlsruhe Institute of Technology
B.Sc. in Informatics
Advisor: Tuomas Sandholm
Research Interests: Event Detection, Optimization, Internet of Things
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
Hyun Ah Song
Korea Advanced Institute of Science and Technology, M.S. in Electrical Engineering
Ewha Womans University, B.S.E. in Environmental Science & Engineering
Advisor: Christos Faloutsos
Research Interests: Machine learning, neural networks, unsupervised learning
Neil Spencer
University of British Columbia
MS in Statistics
Advisor: Cosma Shalizi
Research Interests: Bayesian nonparametric statistics, Network modelling, Monte Carlo methods.
Statistics & Machine Learning Joint PhD Program
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
Otilia Stretcu
University of Cambridge
M.Ph. in Advanced Computer Science
Advisors: Tom Mitchell & Barnabas Poczos
Research Interests: Machine Learning and Computer Vision, particularly biomedical applications.
Arun Sai Suggala
Indian Institute of Technology, Bombay,
B.Tech. in Computer Science and Engineering
Advisor: Pradeep Ravikumar
Research Interests: Optimization, High Dimensional Statistics
Mariya Toneva
Yale University
B.S. in Computer Science, Cognitive Science
Advisor: Tom Mitchell, Leila Wehbe
Research Interests: Computational cognitive science, Natural Language Processing, Modeling Language Processing in Humans
Neural Computation & Machine Learning Joint PhD Degree
Nicholay Topin
University of Maryland
BS in Computer Science
Advisor: Manuela Veloso
Research Interests: Reinforcement Learning, Deep Learning, Sequential decision making
Yao-Hung (Hubert) Tsai
National Taiwan University
B.S.E in Electrical Engineering
Advisor: Ruslan Salakhutdinov
Research Interests: Deep Learning, Computer Vision and Natural Language Processing
Hsiao-Yu Tung
Carnegie Mellon University
MS in Machine Learning
Advisor: Katerina Fragkiadaki & Alex Smola
Research Interests: Spectral Methods, Statistical Modeling & Machine Learning Theory
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
Po-Wei Wang
National Taiwan University
BS in Computer Science
Advisor: Zico Kolter
Research Interests: Optimization Algorithms & Convergence Theory for Machine Learning
Ryan Williamson
Brigham Young University
BS in Electrical Engineering
Advisors: Byron Yu & Matthew Smith (Univ. of Pittsburgh, Ophthalmology)
Research Interests: Brain computer interfaces, dimensionality reduction, mechanisms of attention in the primate visual system
Neural Computation & Machine Learning Joint PhD Degree
Ezra Winston
Carnegie Mellon University
MS in Machine Learning
Advisor: Zico Kolter
Research Interests: Natural language understanding, representation learning
Eric Wong
Carnegie Mellon University
B.S. in Computer Science
Advisor: Zico Kolter
Research Interests: Optimization algorithms, human-in-the-loop learning, and sustainability domains
Yifan Wu
University of Alberta, M.S. in Computing Science
Shanghai Jiao Tong University, B.S. in Computer Science
Advisor: Zachary Lipton
Research Interests: Sequential decision making, large scale and complex modelling, learning theory
Qizhe Xie
Carnegie Mellon University
MS in Language Technologies
Advisor: Ed Hovy
Research Interests: Machine Learning, Natural Language Processing
Yichong Xu
Tsinghua University
B.Eng. in Computer Science
Advisor: Artur Dubrawski
Research Interests: deep learning, game theory and algorithm design
Tom Yan
Massachusetts Institute of Technology
BS & MEng in EECS
Advisor: Ariel Procaccia
Research Interests: Principled approaches to Machine Learning & Artificial Intelligence
Fan Yang
Carnegie Mellon University
B.S. in Mathematical Sciences
Advisor: William Cohen & Tom Mitchell
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
Emre Yolcu
Carnegie Mellon University
MS in Language Technologies
Advisor: Marijn Heule
Research interests: Learning theory, optimization, reinforcement learning
Han Zhao
University of Waterloo
MM in Computer Science
Advisor: Geoff Gordon & Matt Gormley
Research Interests: Tractable probabilistic inferences in graphical models
Xun Zheng
Carnegie Mellon University, M.S. in Machine Learning
Beihang University, B.E. in Software Engineering
Advisor: Pradeep Ravikumar & Eric Xing
Research Interests: Bayesian inference and optimization
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 & Eric Xing
Research Interests: deep learning, representation learning, bayesian methods, natural language processing, machine learning for healthcare