# 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

**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

University of Toronto

MS in Computer Science

Advisor:

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# Shaojie Bai

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

Carnegie Mellon University

BS in Computer Science

Advisor:

Research Interests: Deep Learning & Optimization

# Sebastian Caldas

Universidad de los Andes

BS in Systems & Computing Engineering

Advisor:

Research Interests: Computer Vision

# Dallas Card

Dalhousie University, MA in International Development Studies

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

Advisor: Noah Smith

# Devendra Chaplot

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

# 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

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

**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

**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

Victoria University, New Zealand

MS in Engineering & Computer Science

Advisor: Geoff Gordon

Research Interests: Machine Learning, Algorithms, Neural Networks

# 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

**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

**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

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

**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

Instituto Tecnologico Autonomo de Mexico

BS in Applied Mathematics

Advisor:

Research Interests: Optimization and Statistical Learning Theory

# 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

**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

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

Advisor: Christos Faloutsos

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

# 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

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/

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

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

**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

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

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

**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

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

# 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

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

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

Stanford University

MS & BS in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Computational Biology

# 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

**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

Washington University, St. Louis

BS in Computing

Advisor: Simon Lucey

# 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

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

**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

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

**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

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:

Research Interests: Statistical Machine Learning, Information Theory, Optimization

*Statistics & Machine Learning Joint PhD Program*

# Emmanouil (Anthony) Platanios

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

Imperial College London

ME in Electrical & Electronic Engineering

Advisor: Tom Mitchell

# Gregory Plumb

University of Wisconsin, Madison

BS in Computer Science

Advisor:

Research Interests: Theoretical Machine Learning, Deep Learning

# 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

**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

**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

**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

**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

**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

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

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

**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

IIT, Kanpur

MTech in Computer Science & Engineering

Advisor: Tom Mitchell

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

# 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

Indian Institute of Technology, Bombay,

B.Tech. in Computer Science and Engineering

Advisor: Pradeep Ravikumar

Research Interests: Optimization, High Dimensional Statistics.

# 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

University of Maryland

BS in Computer Science

Advisor:

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

# 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

**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

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

**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

**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: Ryan Tibshirani & Stephen Fienberg

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

# 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

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

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

**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

**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

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

Tsinghua University

B.Eng. in Computer Science

Advisor: Artur Dubrawski

# Fan Yang

Carnegie Mellon University

B.S. in Mathematical Sciences

Advisor: William Cohen

# 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

**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

**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

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

**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

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

**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

**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

McGill University, B.S. in Computer Science

Advisor: Manuela Veloso

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