# 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

**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

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

Dalhousie University, MA in International Development Studies

University of Waterloo, BA.Sc. in Systems Design Engineering

Advisor: Noah Smith

# 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

**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

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 González

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*

# 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

MS in Engineering & Computer Science

Research Interests: Machine Learning, Algorithms, Neural Networks

# 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

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

Polytechnic Institute of NYU

BS in Computer Science

Advisor: Reid Simmons

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

# 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

**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

**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*

# 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

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

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

Carnegie Mellon University

BS in Computer Science

Advisor: Drew Bagnell & Martial Hebert

# Adona Iosif

University of Cambridge

BA in Computer Science

Advisor: Geoff Gordon

Research Interests: Machine Learning, AI, Bioinformatics

# 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

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

# 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

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

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

University of Washington, B.S. in Computer Science

Advisor: Artur Dubrawski

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

# 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

# Yifei Ma

Tsinghua University

BS in Automation

Advisor: Jeff Schneider

Research Interests: Robotics, Algorithms, Statistics

# Micol Marchetti-Bowick

Stanford University

MS & BS in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Computational Biology

# 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

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

Washington University, St. Louis

BS in Computing

Advisor: Fernando De la Torre

# 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

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

**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

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

Imperial College London

ME in Electrical & Electronic Engineering

Advisor: Tom Mitchell

# 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

**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

University of Toledo

MS in Computer Science

Advisors: Artur Dubrawski, Jeff Schneider

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

# Mrinmaya Sachan

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

# 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

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

**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

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

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

IIT, Kanpur

MTech in Computer Science & Engineering

Advisor: Tom Mitchell

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

# 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

**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

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

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

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

**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

# 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