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


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


Will Bishop

Will Bishop

Johns Hopkins
BS in Biomedical Engineering

Advisor: Byron Yu & Rob Kass

Research Interests: Machine Learning and statistical methods applied to the analysis and decoding of neuronal data for prosthetic and basic science purposes

Special Track in the Center for the Neural Basis of Cognition


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.

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

Technische Universitaet Darmstadt
M.S. in Computer Science

Advisor:

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


Maria De Arteaga González

Maria De Arteaga González

Universidad Nacional de Colombia
BS in Mathematics

Advisor:

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


Carl Doersch

Carl Doersch

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

Carnegie Mellon
BS in Computer Science

Advisors: Alexei Efros, Abhinav Gupta

Research Interests: Computer Vision, Unsupervised and Semi-Supervised Learning, Computational Neuroscience, Philosophy of Learning


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

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

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.


Robert Fisher

Robert Fisher

Polytechnic Institute of NYU
BS in Computer Science

Advisor: Reid Simmons

Research Interests: Computational Learning Theory, Optimization, and Natural Language Processing


Madalina Fiterau

Madalina Fiterau

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

Politehnica University of Timisoara, Romania
B. Eng. in Computer Science

Advisor: Artur Dubrawski

Research Interests: Multi-agent Systems, Active Learning, Robot Vision, Dynamic Semiotics, Applying Machine Learning in Software Engineering


Seth Flaxman

Seth Flaxman

Website: http://sethrf.com/

Harvard University
BA in Computer Science & Mathematics

Advisor: Daniel Neill

Research Interests: Methods: Forecasting and Prediction with High-Dimensional Spatiotemporal Data, Hierarchical Bayesian Modeling; Application Areas: Public Health, Criminology, Urban Data, and Healthcare

Machine Learning & Public Policy Joint PhD Program


Alona Fyshe

Alona Fyshe

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

University of Alberta
MS in Computing Science

Advisor: Tom Mitchell

Research Interests: Machine Learning, Computational Neuroscience, Computational Biology

Special Track in the Center for the Neural Basis of Cognition


Haijie (Jay) Gu

Haijie (Jay) Gu

Carnegie Mellon University
BS in Computer Science

Advisor: Carlos Guestrin

Research Interests: Machine Learning, Data mining, Statistics


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:

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.

Adona Iosif

Adona Iosif

University of Cambridge
BA in Computer Science

Advisor: Geoff Gordon

Research Interests: Machine Learning, AI, Bioinformatics


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
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

Advisor:

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

Advisor:

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


Wooyoung Lee

Wooyoung Lee

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

Seoul National University
MS in Neuroscience

Advisors : Geoff Gordon, Mike Lewicki (Case Western)

Research Interests : Machine Learning , Computer vision, Visual Perception, Computational Neuroscience


Eric Lei

Eric Lei

University of Washington, B.S. in Computer Science

Advisor:

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



Chun-Liang Li

Chun-Liang Li

National Taiwan University, M.S. in Computer Science

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


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


Calvin McCarter

Calvin McCarter

University of Michigan, Ann Arbor
BSE in Computer Science Engineering

Advisor: Seyoung Kim

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

George Montañez

George Montañez

Baylor University
MS in Computer Science

Advisor: Cosma Shalizi

Research Interests: No Free Lunch Theorems and Inductive Bias, Foundations of Inductive Inference, Bias 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

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.


Brendan O'Connor

Brendan O'Connor

Website: http://brenocon.com/

Stanford University
MS in Symbolic Systems

Advisor: Noah Smith

Research Interests: Natural language processing and social science


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.


Ankur Parikh

Ankur Parikh

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

Princeton University
BSE in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Spectral and Kernel methods, Computational Biology


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.


Aaditya Ramdas

Aaditya Ramdas

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

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

Advisors: Aarti Singh, Larry Wasserman

Research Interests: Learning Theory (Statistical, Online, Algorithmic, Computational, etc.)

Statistics & 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:

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: Eric Xing

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:

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


Shashank Srivastava

Shashank Srivastava

IIT, Kanpur
MTech in Computer Science & Engineering

Advisor:

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


Yining Wang

Yining Wang

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

Tsinghua University, B.E. in Computer Science & Technology

Advisor:

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.


Leila Wehbe

Leila Wehbe

American University, Beirut
BE in Electrical & Computer Engineering

Advisor: Tom Mitchell

Research Interests: Decoding cognitive states using Machine Learning and human brain imaging, Computational Cognitive Science

Special Track in the Center for the Neural Basis of Cognition


Matthew Wytock

Matthew Wytock

University of California, San Diego
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Non-parametric high dimensional statistics, convex optimization with applications in biology and computer vision (currently on Leave of Absence)


Guangyu (Gus) Xia

Guangyu (Gus) Xia

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


Liang Xiong

Tsinghua University
MS in Control Science

Advisor: Jeff Schneider

Research Interests: Statistical Learning, Data Mining, Graph and Graphical Models


Min Xu

Min Xu

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

Advisor: John Lafferty

Research Interests: Statistical Learning Theory, Graphical Models, Nonparametric Statistics, Online Learning Algorithms


Liu Yang

Hua Zhong University of Science and Technology (HUST), China
BS in Electronics and Information Engineering

Advisors : Jaime Carbonell, Avrim Blum

Research interests : Statistical Inference of Networks; Probabilistic graphical model for biological applications; Semi-supervised Learning; Distance Metric Learning


Bin Zhao

Bin Zhao

Tsinghua University
B. Eng. in Automation

Advisor: Eric Xing

Research Interests: Machine Learning, Data Mining, Computer Vision