PhD Students-Machine Learning Department - Carnegie Mellon University

Alnur Ali

Alnur Ali

Website: http://www.alnurali.com/

University of Southern California
BS in Computer Science

Advisor: Zico Kolter & Ryan Tibshirani

Research Interests: Optimization, Statistics, Applications


Maruan Al-Shedivat

Maruan Al-Shedivat

Website: http://maruan.alshedivat.com/

King Abdullah University for Science and Technology
MS in Computer Science

Advisor: Eric Xing

Research Interests: Statistical learning theory, learning representations, semi-supervised and transfer learning.


Siddharth Ancha

Siddharth Ancha

University of Toronto
MS in Computer Science

Advisor:

Research Interests: MCMC inference, deep learning, computer vision


Ifigeneia Apostolopoulou

Ifigeneia Apostolopoulou

University of Thessaly at Volos
BS in Electrical & Computer Engineering

Advisor: Artur Dubrawski

Research Interests: Pattern mining, Statistical Machine Learning

Shaojie Bai

Shaojie Bai

Website: https://jerrybai1995.github.io/

Carnegie Mellon University
BS in Computer Science

Advisor:

Research Interests: Deep Learning & Optimization


Sebastian Caldas

Sebastian Caldas

Universidad de los Andes
BS in Systems & Computing Engineering

Advisor:

Research Interests: Computer Vision


Dallas Card

Dallas Card

Dalhousie University, MA in International Development Studies
University of Waterloo, BA.Sc. in Systems Design Engineering

Advisor: Noah Smith

Research Interests: Machine learning in social and biological systems, Event and pattern detection, Algorithmic game theory, and Computational creativity.

Devendra Chaplot

Devendra Chaplot

Website: http://www.cs.cmu.edu/~dchaplot

Indian Institute of Technology, Bombay
BTech in Computer Science and Engineering
Advisor:
Research Interests: Deep Reinforcement Learning, NLP, Robotics, AI

Amanda Coston

Amanda Coston

Princeton University
BSE in Computer Science

Advisor:

Research Interests: Machine Learning applied to areas of social impact, including healthcare, human rights, and criminal justice.

Machine Learning & Public Policy Joint PhD Program


Benjamin Cowley

Benjamin Cowley

Carnegie Mellon University
B.S. in Electrical and Computer Engineering

Advisor: Byron Yu

Research Interests: Machine Learning and statistical techniques for the analysis and visualization of high-dimensional neural data


Wei Dai

Wei Dai

Website: http://daiwei89.github.io/

Caltech
BS in Computer Science

Wesleyan University
BA in Physics & Mathematics

Advisor: Eric Xing

Research Interests: scalable machine learning and the interfaceof implementation and theory


Christoph Dann

Christoph Dann

Website: http://cdann.net/

Technische Universitaet Darmstadt
M.S. in Computer Science

Advisor: Emma Brunskill

Research Interests: Sequential decision making under uncertainty; AI; computer vision; statistical machine learning; optimization


Maria De Arteaga

Maria De Arteaga

Website: https://mariadearteaga.wordpress.com/

Universidad Nacional de Colombia
BS in Mathematics

Advisor: Artur Dubrawski

Research Interests: Machine Learning, Natural Language Processing and Data Mining applied to Corruption and Fraud Detection, Criminology and Violence Research.

Machine Learning & Public Policy Joint PhD Program


Carlton Downey

Carlton Downey

Victoria University, New Zealand
MS in Engineering & Computer Science

Advisor: Geoff Gordon

Research Interests: Machine Learning, Algorithms, Neural Networks


Simon Du

Simon Du

Website: http://www.cs.cmu.edu/~ssdu/

University of California, Berkeley
BS in Electrical Engineering and Computer Science

Advisors: Barnabas Poczos & Aarti Singh

Research Interests: Matrix Factorization, Randomized Algorithms


Kumar Avinava Dubey

Kumar Avinava Dubey

Website: https://sites.google.com/site/kumaravinavadubey/

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


Kirstin Early

Kirstin Early

Website: http://www.cs.cmu.edu/~kearly/

Vanderbilt University
BS in Computer Science

Advisor: Jen Mankoff & Stephen Fienberg

Research Interests: Distributed Machine Learning techniques, possibly involving wireless sensor networks, and any projects using machine learning for environmentally-focused applications.


Dylan Fitzpatrick

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 Program


William Guss

William Guss

Website: http://wguss.ml/

University of California, Berkeley
BA in Pure Mathematics

Advisor:

Research Interests: Deep Learning Theory, Deep Reinforcement Learning, Automated Machine Learning,  Applied Algebraic Topology, and Functional Analysis

Kin Gutierrez Olivares

Kin Gutierrez Olivares

Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics

Advisor:

Research Interests: Optimization and Statistical Learning Theory


Ahmed Hefny

Ahmed Hefny

Website: http://www.cs.cmu.edu/~ahefny/

Cairo University
MS in Computer Engineering

Advisor: Geoff Gordon

Research Interests: Machine Learning, AI, Data mining


Jay Hennig

Jay Hennig

Website: http://www.jehosafet.com/me

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 program.


William Herlands

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 Program


Bryan Hooi

Bryan Hooi

Stanford University
MS in Computer Science
BS in Mathematics

Advisor: Christos Faloutsos

Research Interests: High-dimensional inference, Network analysis, Biomedical and social science applications

Statistics & Machine Learning Joint PhD Program

Hanzhang Hu

Hanzhang Hu

Carnegie Mellon University
BS in Computer Science

Advisor: Drew Bagnell & Martial Hebert

Research Interests: Machine learning, Computer vision, AI planning.

Zhiting Hu

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


Sashank Jakkam Reddi

Sashank Jakkam Reddi

Indian Institute of Technology, Bombay
BTech in Computer Science & Engineering

Advisor: Barnabas Poczos & Alex Smola

Research Interests: Machine Learning, Data Mining, Bioinformatics


Kirthevasan (Samy) Kandasamy

Kirthevasan (Samy) Kandasamy

Website: http://www.cs.cmu.edu/~kkandasa/

University of Moratuwa, Sri Lanka
B. Sc Eng in Electronic & Telecommunication Engineering

Advisors: Jeff Schneider & Barnabas Poczos

Research Interests: In the intersection of algorithmic, statistical and theoretical Machine Learning.


Jisu Kim

Jisu Kim

Seoul National University
BA in Mathematics

Advisors: Larry Wasserman & Alessandro Rinaldo

Research Interests: Topological Data Analysis, Data mining, Statistical Learning.

Statistics & Machine Learning Joint PhD Program


Joon Sik Kim

Joon Sik Kim

Website: https://wnstlr.github.io/

California Institute of Technology
BS in Computer Science

Advisor:

Research Interests: Reinforcement/online learning, robot learning, variational methods


Natalie Klein

Natalie Klein

University of New Mexico
BS in Pure Mathematics

Advisors: Rob Kass & Valerie Ventura

Research Interests: neural networks, synchronization phenomena, clustering, network analysis, and applications of statistics and machine learning to social and biological problems.

Statistics & Machine Learning Joint PhD Program

Shing-Hon Lau

Shing-Hon Lau

University of California, Berkeley
BA in Computer Science

Advisor: Roy Maxion

Research Interests: Applications of Machine Learning, Security of Machine Learning, Multi-agent Systems


Lisa Seung-Yeon Lee

Lisa Seung-Yeon Lee

Website: http://www.cs.cmu.edu/~lslee

Princeton University, A.B. in Mathematics

Advisor: Eric Xing

Research Interests: Deep reinforcement learning, NLP, computer vision, statistics


Eric Lei

Eric Lei

University of Washington
B.S. in Computer Science

Advisor: Artur Dubrawski

Research Interests: Big data, learning theory, NLP, and game theory.


Chun-Liang Li

Chun-Liang Li

National Taiwan University
M.S. in Computer Science

Advisor: Jeff Schneider

Research Interests: Bridging machine learning theories and applications, Optimization, Data mining


Chieh Lin

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.


Leqi Liu

Leqi Liu

Bryn Mawr College
BA in Computer Science

Advisor:

Research Interests: Artificial Intelligence; Statistical Machine Learning; Reinforcement Learning; Fairness, Accountability and Transparency in Machine Learning.


Darby Losey

Darby Losey

University of Washington
BS in Computer Science, Neurobiology

Advisor:

Research Interests: Brain-Computer Interfacing, Computational Neuroscience,Dimensionality Reduction, Signal Processing

Neural Computation & Machine Learning Joint PhD program.


Micol Marchetti-Bowick

Micol Marchetti-Bowick

Stanford University
MS & BS in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Computational Biology


Kenneth Marino

Kenneth Marino

Website: http://kennethmarino.weebly.com/

Georgia Institute of Technology
BS in Computer Engineering

Advisor: Abhinav Gupta

Research Interests: Deep Learning, Computer Vision, Unsupervised and Semi-supervised Learning


Calvin McCarter

Calvin McCarter

Website: http://www.cs.cmu.edu/~cmccarte/

University of Michigan, Ann Arbor
BSE in Computer Science Engineering

Advisor: Seyoung Kim

Research Interests: Statistical Machine Learning, Computational Genomics and Optimization.

Calvin Murdock

Calvin Murdock

Washington University, St. Louis
BS in Computing

Advisor: Simon Lucey

Research Interests: Computer Vision, Unsupervised Learning, High-dimensional Time Series

Renato Negrinho

Renato Negrinho

Website: http://www.cs.cmu.edu/%7Enegrinho/

Instituto Superior Tecnico, Portugal
MS in Electrical and Computer Engineering

Advisor: Geoff Gordon

Research Interests: Statistical Machine Learning, Optimization, Natural Language Processing


Willie Neiswanger

Willie Neiswanger

Columbia University
BS in Applied Mathematics

Advisor: Eric Xing

Research Interests: Statistical Machine Learning, computer vision, signal processing, Bayesian methods, and analysis of networks.


Ritesh Noothigattu

Ritesh Noothigattu

Website: http://www.cs.cmu.edu/~rnoothig/

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


Junier Oliva

Junier Oliva

Carnegie Mellon University
MS in Computer Science

Advisor: Barnabas Poczos & Jeff Schneider

Research Interests: High Dimensional Learning; Graphical Models; Statistics; Machine Learning; AI.


Biswajit Paria

Biswajit Paria

Website: https://biswajitsc.github.io/

Indian Institute of Technology Kharagpur,
BS & MS in Computer Science and Engineering

Advisor:

Research Interests: Statistical and theoretical machine learning


Emilio Parisotto

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

Pratik Patil

University of Toronto
MASc in Electrical & Computer Engineering
MS in Statistics

Advisor:

Research Interests: Statistical Machine Learning, Information Theory, Optimization

Statistics & Machine Learning Joint PhD Program


Emmanouil (Anthony) Platanios

Emmanouil (Anthony) Platanios

Website: http://www.platanios.org/

Imperial College London
ME in Electrical & Electronic Engineering

Advisor: Tom Mitchell

Research Interests: Machine Learning and Non-Parametric Statistics

Gregory Plumb

Gregory Plumb

University of Wisconsin, Madison
BS in Computer Science

Advisor:

Research Interests: Theoretical Machine Learning, Deep Learning


Adarsh Prasad

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


Nicole Rafidi

Nicole Rafidi

Website: http://www.cs.cmu.edu/~nrafidi/

Princeton University
BSE in Electrical Engineering

Advisor: Tom Mitchell

Research Interests: applying machine learning techniques to neuroimaging data to discover the processes underlying language comprehension.

Neural Computation & Machine Learning Joint PhD program.


Mrinmaya Sachan

Mrinmaya Sachan

Website: https://sites.google.com/site/mrinsachan/

IIT Kanpur
B.Tech. in Computer Science and Engineering

Advisor: Eric Xing

Research Interests: Statistical Learning, Structure Prediction, Natural Language Processing and (Social) Network Analysis.


Veeranjaneyulu Sadhanala

Veeranjaneyulu Sadhanala

Website: http://www.cs.cmu.edu/~vsadhana/

Indian Institute of Technology, Bombay
BTECH in Computer Science & Engineering

Advisor: Ryan Tibshirani

Research Interests: Machine Learning, Statistics & Optimization.


Abulhair (Abu) Saparov

Abulhair (Abu) Saparov

Website: http://asaparov.org/

Princeton University
B.S.E. in Computer Science

Advisor: Tom Mitchell

Research Interests: Scalable machine learning, AI, algorithms, Bayesian statistical methods, natural language processing.


Shashank Singh

Shashank Singh

Website: http://www.contrib.andrew.cmu.edu/%7Esss1/

Carnegie Mellon University
B.S. & M.S. in Math

Advisor: Barnabas Poczos

Research Interests: Statistical Methods, Information Theory, Topological Data Analysis, Optimization, Neural Data Analysis, Biological Computation

Statistics & Machine Learning Joint PhD Program


Hyun Ah Song

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


Michael Spece-Ibanez

Michael Spece-Ibanez

Caltech
BS in Applied & Computational Mathematics

BS in Business Economics & Management

Advisor: Cosma Shalizi

Research Interests: Repeated Game Models, Online Learning, Non-Stationary Time Series, Statistical Decision Theory, Algorithmic Game Theory, AI

Statistics & Machine Learning Joint PhD Program


Neil Spencer

Neil Spencer

Website: https://sites.google.com/site/neilarchspencer/

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


Shashank Srivastava

Shashank Srivastava

IIT, Kanpur
MTech in Computer Science & Engineering

Advisor: Tom Mitchell

Research Interests: Statistical learning, General AI, Structure prediction, Language


Otilia Stretcu

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

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

Mariya Toneva

Yale University
B.S. in Computer Science, Cognitive Science

Advisor: Tom Mitchell

Research Interests: Computational Cognitive Science, Graphical Models, High-dimensional Timeseries

Neural Computation & Machine Learning Joint PhD program.


Nicholay Topin

Nicholay Topin

University of Maryland
BS in Computer Science

Advisor:

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


Yao-Hung Tsai

Yao-Hung 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

Hsiao-Yu Tung

Website: http://sfish0101.bitbucket.org/

Carnegie Mellon University
MS in Machine Learning

Advisor: Katerina Fragkiadaki & Alex Smola

Research Interests: Spectral Methods, Statistical Modeling & Machine Learning Theory.


Akash Umakantha

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 program.


Po-Wei Wang

Po-Wei Wang

Website: http://powei.tw/

National Taiwan University
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Optimization Algorithms & Convergence Theory for Machine Learning


Yining Wang

Yining Wang

Website: http://www.yining-wang.com/

Tsinghua University
B.E. in Computer Science & Technology

Advisor: Aarti Singh

Research Interests: Statistical machine learning and natural language processing.


Yuxiang Wang

Yuxiang Wang

Website: http://www.cs.cmu.edu/~yuxiangw

National University of Singapore
B.Eng. & M.E. in Electrical Engineering

Advisor: Ryan Tibshirani & Stephen Fienberg

Research Interests: Robust machine learning, learning with low-rank/sparse structures, computer vision, high dimensional statistics and optimization.


Ryan Williamson

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 program.


Eric Wong

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

Yifan Wu

University of Alberta, M.S. in Computing Science
Shanghai Jiao Tong University, B.S. in Computer Science

Advisor: Aarti Singh

Research Interests: Sequential decision making, large scale and complex modelling, learning theory.


Jing Xiang

Jing Xiang

Website: http://www.cs.cmu.edu/~jingx/

University of British Columbia
MASc in Computer/Biomedical Engineering

Advisor: Seyoung Kim

Research Interests: Machine Learning, Computational Biology and Medical Imaging


Pengtao Xie

Pengtao Xie

Website: http://www.cs.cmu.edu/~pengtaox/

Carnegie Mellon University
MS in Language Technologies

Advisor: Eric Xing

Research Interests: latent variable models and distributed machine learning


Yichong Xu

Yichong Xu

Website: http://xycking.wix.com/yichongxu

Tsinghua University
B.Eng. in Computer Science

Advisor: Artur Dubrawski

Research Interests: deep learning, game theory and algorithm design.

Fan Yang

Fan Yang

Carnegie Mellon University
B.S. in Mathematical Sciences

Advisor: William Cohen

Research Interests: Learning to search, structure prediction, and probabilistic logic programming

Chih-Kuan Yeh

Chih-Kuan Yeh

National Taiwan University
BS in Electronic Engineering

Advisor:

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.


Enxu (Ian) Yen

Enxu (Ian) Yen

Website: https://www.cs.cmu.edu/~eyan/

National Taiwan University
MS in Computer Science

Advisor: Pradeep Ravikumar

Research Interests: Scalable Machine Learning, Continuous Optimization, and applications to NLP, Vision, Bioinformatics etc.


Wei Yu

Wei Yu

Website: http://www.cs.cmu.edu/~weiyu/

Carnegie Mellon University
MS in Language Technologies

Advisors: Jaime Carbonell & Alex Smola

Research Interests: Statistical Machine Learning, Large Scale Optimization


Manzil Zaheer

Manzil Zaheer

Indian Institute of Technology, Guwahati
BTech in Electronics and Communication Engineering

Advisor: Barnabas Poczos & Ruslan Salakhutdinov

Research Interests: Scalable Machine Learning, Bayesian Non-parametrics, Topic Modelling.


Hongyang Zhang

Hongyang Zhang

Website: http://www.cs.cmu.edu/~hongyanz/

Peking University
MS in Intelligence Science and Technology

Advisor: Nina Balcan

Research Interests: Machine Learning Theory, Information Theory, Non-Convex/Convex Optimization, and Statistics.


Qiong Zhang

Qiong Zhang

Carnegie Mellon University, MS in Machine Learning
National University of Singapore, BS in Computational Biology

Advisors: John Anderson, Rob Kass

Research Interests: Neuroimaging analysis, Computational modeling of human cognition, Bayesian methods

Neural Computation & Machine Learning Joint PhD program.


Han Zhao

Han Zhao

Website: http://www.cs.cmu.edu/~hzhao1/

University of Waterloo
MM in Computer Science

Advisor: Geoff Gordon

Research Interests: Tractable probabilistic inferences in graphical models


Xun Zheng

Xun Zheng

Website: http://www.cs.cmu.edu/~xunzheng/

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

Chenghui Zhou

McGill University, B.S. in Computer Science

Advisor: Manuela Veloso

Research Interests: learning from time series data, statistical machine learning, spectral learning.