Machine Learning - CMU

Ananye Agarwal

Indian Institute of Technology Delhi
B.Tech in  Computer Science and Engineering

Advisor: TBD

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: 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

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

Christina Baek

UC Berkeley
BS and MS in EECS

Advisor: TBD

Research Interests: Generalization, continual learning, robustness

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: 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

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

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

Advisor: 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

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

Machine Learning & Public Policy Joint PhD Degree

YJ Choe

University of Chicago
BA in Mathematics

Advisor:

Research Interests: statistical machine learning, deep learning, natural language processing

Statistics & Machine Learning Joint PhD Degree

Youngseog Chung

Carnegie Mellon University
MS in Machine Learning

Advisor: TBD

Research Interests: Uncertainty quantification, decision making and control, causal inference

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 

Advisor: 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: TBD

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

Advisor: TBD

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: Jeff Schneider & Tom Mitchell

Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

Sachin Goyal

IIT Bombay
BTech in Electrical Engineering

Advisor: TBD

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

Advisor: TBD

Research Interests: Causal inference, sequential decision making

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

Keegan Harris

Pennsylvania State University
BS in Computer Science
BS in Physics

Advisors: Hoda Heidari & Steven Wu

Research Interests: algorithmic game theory, economics & computation, online learning

Jennifer Hsia

Princeton University
B.S.E. in Computer Science

Advisor: TBD

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

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: Zico Kolter

Research Interests: Deep Learning, Reinforcement Learning

Nari Johnson

Harvard University
BA and MSc in Computer Science

Advisor: TBD

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

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: 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

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

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

Pratyush Maini

IIT, Dehli
B.Tech in Computer Science and Engineering

Advisor: TBD

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

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 & 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

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: 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

Advisor: TBD

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: TBD

Research Interests: Statistical Machine Learning

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: Tom Mitchell

Research Interests: Event Detection, Optimization, Internet of Things

Amrith Setlur

Carnegie Mellon University
MS in Language Technologies

Advisor: TBD

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: TBD

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

Advisor: TBD

Research Interests: Machine Learning and Data Mining

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

Nicholay Topin

University of Maryland
BS in Computer Science

Advisor: Manuela Veloso

Research Interests: Reinforcement Learning, Deep Learning, Sequential decision making

Brandon Trabucco

UC Berkeley
B.S. in EECS

Advisor: TBD

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

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

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

Advisor: TBD

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

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

Tom Yan

Massachusetts Institute of Technology
BS & MEng in EECS

Advisor: Ariel Procaccia

Research Interests: Principled approaches to Machine Learning & Artificial Intelligence

Tian Ye

Tsinghua University
B.E. in Computer Science

Advisor: TBD

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

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