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

Research Interests: Statistical Machine Learning, Bayesian Statistics, Optimization, 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.


Martin Azizyan

Martin Azizyan

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

Duke University
BS in Computer Science

Advisor: Aarti Singh

Research Interests: Semi-supervised learning theory; non-parametric statistics


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.

YJ Choe

YJ Choe

Website: http://yjchoe.github.io/

University of Chicago
BS in Mathematics & Computer Science

Research Interests: Statistical Machine Learning, Convex Optimization, and Deep Learning.

Statistics & Machine Learning 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

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 & Stephen Fienberg

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: Zico Kolter

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:

Research Interests: Forecasting and prediction in spatiotemporal data for urban analytics, natural resource management, and conservation ecology.

Machine Learning & Public Policy Joint PhD Program


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


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

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


Natalie Klein

Natalie Klein

University of New Mexico
BS in Pure Mathematics

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


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.


Yifei Ma

Yifei Ma

Tsinghua University
BS in Automation

Advisor: Jeff Schneider

Research Interests: Robotics, Algorithms, Statistics


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.

George MontaƱez

George MontaƱez

Website: http://whymachinelearningworks.com/

Baylor University
MS in Computer Science

Advisor: Cosma Shalizi

Research Interests: Inductive Bias and Conservation of Information, Foundations of Inductive Inference, Spatio-temporal Learning


Calvin Murdock

Calvin Murdock

Washington University, St. Louis
BS in Computing

Advisor: Fernando De la Torre

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

Renato Negrinho

Renato Negrinho

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.


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.


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

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.


Maheshkumar Sabhnani

Maheshkumar Sabhnani

University of Toledo
MS in Computer Science

Advisors: Artur Dubrawski, Jeff Schneider

Research Interests: Machine Learning, Data Mining, Bio-surveillance, Bayes Nets


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

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: Tom Mitchell

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:

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:

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.


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.


Hsiao-Yu Tung

Hsiao-Yu Tung

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

Carnegie Mellon University
MS in Machine Learning

Advisor: Alex Smola

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


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: Stephen Fienberg

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


Eric Wong

Eric Wong

Carnegie Mellon University
B.S. in Computer Science

Advisor: Zico Kolter

Research Interests:


Guangyu (Gus) Xia

Guangyu (Gus) Xia

Website: http://www.cs.cmu.edu/~gxia/index.html

Peking University
B.S. in Information Management and Information Systems

Advisor: Roger Dannenberg

Research Interests: computer music, machine learning for signal processing, expressive human-computer music performance


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.

Ying Yang

Ying Yang

Website: http://tarrlabwiki.cnbc.cmu.edu/index.php/YingYang

Peking University, Beijing, China
B.S in Biological Sciences

Advisors: Rob Kass, Michael Tarr

Research Interests: Statistical Machine Learning for Neuroimaging, Computational Models of Human Vision

Neural Computation & Machine Learning Joint PhD program.


Wei Yu

Wei Yu

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

Carnegie Mellon University
MS in Language Technologies

Research interests: Statistical Machine Learning, Large Scale Optimization

Advisors: Jaime Carbonell & Alex Smola


Manzil Zaheer

Manzil Zaheer

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

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

Advisor: Alex Smola


Hongyang Zhang

Hongyang Zhang

Peking University
MS in Intelligence Science and Technology

Research interests: low-rank and sparse model, subspace recovery, matrix and tensor analysis, and randomized algorithms.

Advisor: Nina Balcan


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


Pengcheng Zhou

Pengcheng Zhou

Website: http://zhoupc.github.io/home/

University of Science and Technology of China, Hefei
BS in Physics

Advisor: Rob Kass

Research Interests: Statistical Models of the Spike Train, Large Scale Calcium Imaging Data Analysis

Neural Computation & Machine Learning Joint PhD program.