Team Members

Senior Personnel

• Scott Aaronson

  

  Professor, Computer Science

  Areas of interest: Theoretical Computer Science; Capabilities and limits of quantum computers; Computational complexity heory

• George Bebis

  

  Foundation Professor, Computer Science and Engineering, University of Nevada Reno

  Areas of interest: Computer Vision, Machine/Deep Learning, Medical Imaging

• Constantine Caramanis

  

  Professor, Electrical & Computer Engineering
  University of Texas at Austin

• Swarat Chaudhuri

  

  Associate Professor, Computer Science, 
  University of Texas at Austin

  Areas of interest: Exploiting Structure in Data, Optimizing Real World Objectives, Explainable AI

• Thomas Chen

  

  Professor, Department of Mathematics

  Areas of interest: Mathematical Physics, Analysis, Mathematical Foundations of Deep Learning, Interpretability, Optimization

• Daniel Diaz

  

  Postdoctoral Fellow, Lead of Deep Proteins group.

  Areas of interest: Area of Interest: Machine Learning-guided Protein Engineering and Design

• Isil Dillig

  

  Associate Professor, Computer Science 
  University of Texas at Austin

  Areas of interest: Static program analysis/verification, Program synthesis, Automated logical reasoning

• Ying Ding

  

  Bill & Lewis Suit Professor at School of Information, University of Texas at Austin

  Areas of interest: AI in Healthcare, Knowledge Graph, Chatbot for Health Communication

• Kristen Grauman

  

  Professor, Computer Science
  University of Texas at Austin

  Areas of interest: Deep Learning, Robotics, Vision

• Elisenda Grigsby

  

  Professor, Mathematics & Computer Science, Boston College

  Areas of interest: Mathematical Foundations of Machine Learning Algorithms, Geometric Aspects of Deep Learning Theory

• Suriya Gunasekar

  

  Senior Researcher
  Microsoft Research Redmond

  Areas of interest: Advanced Algorithms for Deep Learning, Deep Learning, Machine Learning Theory

• Nika Haghtalab

  

  Assistant Professor, Department of Electrical Engineering and Computer Sciences, UC Berkeley

  Areas of interest: Machine Learning, Algorithms, Economics, and Society

• Zaid Harchaoui

  

  Associate Professor, Statistics 
  University of Washington

  Areas of interest: Robust statistical machine learning, Learning feature representations of complex data, Computationally-efficient optimization algorithms for learning and inference

• David Harwath

  

  Assistant Professor, Computer Science, University of Texas at Austin
   

  Areas of interest: Deep Learning, Speech Recognition and Synthesis, Audio Understanding, Audio-Visual Learning

• Philipp Krähenbühl

  

  Assistant Professor, Computer Science 
  University of Texas at Austin

  Areas of interest: Optimizing Real World Objectives, Deep Learning, Vision

• Shruti Kshirsagar

  

  Assistant Professor, School of Computing, Wichita State University

  Areas of interest: Advanced Algorithms for Deep Learning, Deep Learning, Machine Learning, Healthcare and AI, Speech Processing, Large Language Models (LLM)

• Jason D. Lee

  

  Associate Professor, Electrical and Computer Engineering, Princeton

  Areas of interest: Foundations of AI and Deep Learning, Representation Learning, Foundations of Deep Reinforcement Learning

• Jerry Li

  

  Senior Researcher
  Microsoft Research

  Areas of interest: Advanced Algorithms for Deep Learning, Machine Learning Theory, Statistical Machine Learning

• Qiang Liu

  

  Assistant Professor, Computer Science
  University of Texas at Austin

  Areas of interest: Advanced Algorithms for Deep Learning, Learning with Dynamic Data, Exploiting Structure in Data

• Raghu Meka

  

  Associate Professor, Computer Science
  UCLA Samueli School of Engineering
   

  Areas of interest: Complexity theory, Learning theory, Algorithms, Probability theory

• Baharan Mirzasoleiman

  

  Assistant Professor, Associate Professor, Computer Science, UCLA Samueli School of Engineering

  Areas of interest: Advanced Algorithms for Deep Learning, Large Scale Machine Learning, Exploiting Structure in Data, Machine Learning Theory

• Aryan Mokhtari

  

  Assistant Professor, Electrical and Computer Engineering
  University of Texas at Austin

  Areas of interest: Optimization, Machine Learning, Artificial Intelligence

• Cris Moore

  

  Professor, Santa Fe Institute
   

  Areas of interest: Problems at the interface of physics, computer science, and mathematics, such as phase transitions in statistical inference

• Sewoong Oh

  

  Associate Professor, Computer Science and Engineering
  University of Washington

  Areas of interest: Advanced Algorithms for Deep Learning, Learning with Dynamic Data, Exploiting Structure in Data

• Eric Price

  

  Assistant Professor, Computer Science 
  University of Texas at Austin

• Alessandro Rinaldo

  

  Alessandro Rinaldo, Professor, Department of Statistics & Data Sciences, University of Texas at Austin

  Areas of interest: Theoretical properties of high-dimensional statistical models

• Sujay Sanghavi

  

  Associate Professor, Electrical & Computer Engineering
  University of Texas at Austin

  Areas of interest: Advanced Algorithms for Deep Learning, Active Learning, Deep Learning

• Purnamrita Sarkar

  

  Assistant Professor, Statistics & Data Sciences
  University of Texas at Austin

  Areas of interest: Large Scale Machine Learning, Machine Learning Theory, Networks

• Souvika Sarkar

  

  Assistant Professor, School of Computing, Wichita State University

  Areas of interest: Natural Language Processing, Information Retrieval, Intelligent Agents, Deep Learning

• Ludwig Schmidt

  

  Professor
  Toyota Research Institute and University of Washington (starting Fall 2021)

  Areas of interest: Advanced Algorithms for Deep Learning, Deep Learning, Machine Learning Theory

• Tselil Schramm

  

  Assistant Professor of Statistics, Stanford University

  Areas of interest: Theory of Algorithms, Optimization, Computational Complexity for Problems Arising in Statistics

• Sanjay Shakkottai

  

  Professor, Electrical & Computer Engineering
  University of Texas at Austin

  Areas of interest: Advanced Algorithms for Deep Learning, Learning with Dynamic Data, Active Learning

• Ankita Shukla

  

  Assistant Professor, Computer Science and Engineering, University of Nevada Reno

  Areas of interest: Deep Learning, Multi-Modal Learning, Computer Vision, Geometric Methods, AI for Social Good

• Kaushik Sinha

  

  Associate Professor, Electrical Engineering and Computer Science
  Wichita State University

  Areas of interest: Exploiting Structure in Data, Deep Learning, Knowledge Representation

• Peter Stone

  

  Professor, Computer Science 
  University of Texas at Austin

  Areas of interest: Learning with Dynamic Data, Exploiting Structure in Data, Optimizing Real World Objectives

• Jon Tamir

  

  Assistant Professor, Electrical & Computer Engineering
  University of Texas at Austin

  Areas of interest: bioECE, Decision, Information, and Communications Engineering (DICE)

• Kevin Tian

  

  Assistant Professor, Computer Science, University of Texas at Austin

  Areas of interest: Optimization, High-Dimensional Statistics, Machine Learning Theory

• Arsen Vasilyan

  

  Postdoctoral Fellow, Institute for Foundations of Machine Learning, UT Austin

  Areas of interest: Computational Learning Theory, Computational Statistics, Distribution Learning and Testing

• Atlas Wang

  

  Assistant Professor, Electrical and Computer Engineering
  University of Texas at Austin

  Areas of interest: Advanced Algorithms for Deep Learning, Learning with Dynamic Data, Exploiting Structure in Data, Optimizing Real-World Objectives

• Rachel Ward

  

  Professor, Mathematics
  University of Texas at Austin

  Areas of interest: Advanced Algorithms for Deep Learning, Learning with Dynamic Data, Exploiting Structure in Data

• Yisong Yue

  

  Professor, Computing and Mathematical Sciences, CalTech

  Areas of interest: Primarily in machine learning and spanning the entire theory-to-application spectrum from foundational advances all the way to deployment in real systems

• Amy Zhang

  

  Assistant Professor, Electrical & Computer Engineering, University of Texas at Austin

  Areas of interest: Reinforcement Learning, Exploiting Structure in Data, Representation Learning