Members of IFDS

Faculty

Dmitriy
Dmitriy Drusvyatskiy
Nonsmooth Optimization, Variational Analysis

Maryam
Maryam Fazel
Convex optimization, Algorithms, Machine Learning, and Control

Zaid
Zaid Harchaoui
Safe Statistical Machine Learning, Representations For Signals and Images

Kevin
Kevin Jamieson
Optimization, Experimental Design, Machine Learning

Sham
Sham Kakade
Theoretical and Applied Questions in Machine Learning and Artificial Intelligence

Yin Tat
Yin Tat Lee
Convex Optimization, Convex Geometry, Spectral Graph Theory, Online Algorithms

Abel
Abel Rodriguez
Bayesian Statistics, Machine Learning

Postdocs

Vincent
Vincent Roulet
Dynamic optimization problems for data science.

Ramya
Ramya Vinayak
Clustering, Crowdsourcing, Convex Optimization, Machine Learning.

Graduate Students

Alec
Alec Greaves-Tunnell
Optimization

Haotian
Haotian Jiang
Optimization, Algorithms, Convex geometry

Corinne
Corinne Jones
Unsupervised Learning for Signals and Images

Kellie
Kellie MacPhee
Optimization

Adhyyan
Adhyyan Narang
Optimization, Game theory

Swati
Swati Padmanabhan
Convex Optimization.

Krishna
Krishna Pillutla
Machine Learning, Optimization

Mitas
Mitas Ray
Online optimization, Game theory

Omid
Omid Sadeghi
Optimization, Online Learning

Ruoqi
Ruoqi Shen
Algorithms, Optimization

Yue
Yue Sun
Statistical Machine Learning, Non-convex Optimization

John
John Thickstun
Representation learning, Time Series Models, Structured Prediction, Applications to Music.

Zhihan
Zhihan Xiong
Online learning, Optimization

Undergraduate Students

Guanghao
Guanghao Ye
Convex Optimization