The ordering on this page is randomized (as opposed to ordering alphabetically).

Read more about biases due to alphabetical ordering.

## 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: 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 & Srinivasa Narasimhan

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

## Anna Bair

Massachusetts Institute of Technology

SB & MEng in Computer Science

Advisor:

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: 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

## Valerie Chen

Yale University

BS in Computer Science

Advisor: Ameet Talwalkar

Research interests: Principled approaches to fairness, accountability, and transparency in machine learning

Yu (Albert) 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*

## Cheng Cheng

University of Southern California

BS in computer science & BS in Econ/Math

Advisors: Jeremy Weiss & Zack Lipton

Research Interests: Machine Learning for Healthcare, NLP, representation learning, and transfer learning

*Machine Learning & Public Policy 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*

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

## Zhili Feng

University of Wisconsin

MS in Computer Science

Advisor: Zico Kolter

Research Interests: Machine Learning Theory

## 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

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*

## 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:

Research interests: Federated Learning, Privacy Preserving Machine Learning, Robustness

## 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

## Elias Jaasaari

University of Helsinki

MS in Computer Science

Advisor:

Research Interests: Automated, scalable, and fair machine learning

Maria Jahja

North Carolina State University

BS in Statistics and Economics

Advisor: Ryan Tibshirani

Research Interests: Statistical machine learning, sequential forecasting in online settings, point and distributional ensemble methods

*Statistics & Machine Learning Joint PhD Degree*

## Yiding Jiang

UC Berkeley

BS in EECS

Advisor:

Research Interests: Deep Learning, Reinforcement Learning

Stefani 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

## 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

## Alex Li

University of California, Berkeley

BS, MS in EECS

Advisor:

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

## Yuchen Li

University of Illinois at Urbana-Champaign

B.S. Statistics and Computer Science, Mathematics

Advisor:

Research Interests:

## 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

## 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

## 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*

## 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 & Andrej Risteski

Research Interests: Reinforcement Learning, Machine 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

## So Yeon (Tiffany) Min

Massachusetts Institute of Technology

B.S. & M.Eng. in EECS

Advisors: Ruslan Salakhutdinov & Pradeep Ravikumar

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

## 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

## 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*

## 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: Zico Kolter

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*

## Samuel Sokota

University of Alberta

MS in Computer Science

Swarthmore College

BA in Mathematics

Advisor:

Research Interests: Machine Learning, Reinforcement Learning, Game Theory, Online Learning, Optimization

## 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

## Che-Ping Tsai

National Taiwan University

BS in Electronic Engineering and Mathematics,

MS in Computer Science

Advisor:

Research Interests: Interpretability and Natural language processing

## 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

## 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*

## 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

## Tom Yan

Massachusetts Institute of Technology

BS & MEng in EECS

Advisor: Ariel Procaccia

Research Interests: Principled approaches to Machine Learning & Artificial Intelligence

## 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

## 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