People

Executive Committee

Rajeev Alur

Computer and Information Science

ML with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Neurosymbolic learning

 

Chris Callison-Burch

Computer and Information Science

Explainability and interpretability, Human-centric design

Kostas Daniilidis

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Human-centric design

Insup Lee

Computer and Information Science 

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, analysis of AI-enabled systems for assurance, trusted AI for healthcare

Mayur Naik

ML algorithms with fairness/ privacy/ robustness/ safety guarantees. Analysis of AI-enabled systems for assurance

Computer and Information Science

George Pappas

Electrical and Systems Engineering

Explainability and interpretability, Neurosymbolic learning, Trusted AI for healthcare

Aaron Roth

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

René Vidal

Electrical and Systems Engineering and Radiology

ML algorithms with fairness/ privacy /robustness/ safety guarantees, Explainability and interpretability, Trusted AI for healthcare

Faculty

Shivani Agarwal

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees 

Hamsa Sridhar Bastani

Statistics and Data Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Human-centric design

Osbert Bastani

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Neurosymbolic learning

Pratik Chaudhuri

Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance

 

Christos Davatzikos

Radiology; Electrical and Systems Engineering; Biostatistics, Epidemiology and Informatics

Trusted AI for healthcare

 

Susan Davidson

Computer and Information Science

Explainability and interpretability, Human-centric design

 

Edgar Dobriban

Statistics and Data Science, Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

 

Eric Eaton

Computer and Information Science

Explainability and interpretability, Trusted AI for healthcare

 

Jake Gardner

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability, Trusted AI for healthcare

Jim Gee

Radiology

Trusted AI for healthcare

Surbhi Goel

Computer and Information Science

ML algorithms with fairness/privacy/robustness/safety guarantees

 

Sharath Chandra Guntuku

Computer and Information Science

Trusted AI for healthcare, Explainability and interpretability 

 

Hamed Hassani

Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance

Zack Ives

Computer and Information Science

Explainability and interpretability, Trusted AI for healthcare

Dinesh Jayaraman

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, explainability, and interoperability, human-centric design, trusted AI for healthcare

 

Kevin Johnson

Biomedical Informatics

Human-centric design, Trusted AI for healthcare

 

Charles E. Kahn, Jr.

Radiology and Orthopaedic Surgery

Trusted AI for healthcare

 

Sampath Kannan

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

 

Michael Kearns

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

 

Despina Kontos

Radiology

Trusted AI for healthcare

 

Konrad Kording

Computer and Information Science

Explainability and interpretability, Human-centric design, Trusted AI for healthcare

Vijay Kumar

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Human-centric design

Benjamin C. Lee

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

 

Qi Long

Biostatistics in Biostatistics and Epidemiology

ML algorithms with fairness/privacy/robustness/safety guarantees, Trusted AI for healthcare

 

Rahul Mangharam

Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Trusted AI for healthcare

 

Nikolai Matni

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance

 

Danaë Metaxa

Computer and Information Science

Human-centric design

Manfred Morari

Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance

 

Michael Posa

Mechanical Engineering and Applied Mechanics

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

 

Chamith S. Rajapakse

Radiology and Orthopaedic Surgery

Trusted AI for healthcare

 

Dan Roth

Computer and Information Science

Computational foundations of intelligent behavior

Li Shen

Biostatistics, Epidemiology and Informatics

Trusted AI for healthcare, Explainability and interpretability

 

Oleg Sokolsky

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Trusted AI for healthcare

 

Weijie Su

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

CJ Taylor

Computer and Information Science

ML algorithms with fairness/privacy/robustness/safety guarantees; Human-centric design; Trusted AI for healthcare

Lyle Ungar

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability, Human-centric design, Trusted AI for healthcare

 

Rakesh Vohra

Economics & Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

Erik Waingarten

Computer and Information Science

ML algorithms with fairness/privacy/robustness/safety guarantees; Explainability and interpretability

 

Duncan Watts

Computer and Information Science

Explainability and interpretability, Human-centric design

Eric Wong

Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

 

Mark Yatskar

Computer and Information Science

Explainability and interpretability, Human-centric design

 

Ph.D. Students & Postdocs

Eshwar Arunachaleswaran

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Explainability and interpretability

Suguman Bansal

Analysis of AI-enabled systems for assurance

Thomas Beckers

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Explainability and interpretability

Patrick Chao

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

Shaoru Chen

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance

Sihao Chen

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

Matthew Cleaveland

Natalie Collina

ML algorithms with fairness/privacy/robustness/safety guarantees

Zongyu Dai

Trusted AI for healthcare

Emily Diana

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

Elizabeth Dinella

Explainability and interpretability, Neurosymbolic learning, Trusted AI for healthcare

Ashley Francisco

Ira Globus-Harris

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

Varun Gupta

Laura Hallock

Human-centric design, Trusted AI for healthcare

Phillip Hilliard

Jiani Huang

Xinmeng Huang

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

Yidi Huang

Explainability and interpretability, Trusted AI for healthcare

Edward Hu

Kishor Jothimurugan

Neurosymbolic Learning, Explainability and Interpretability, Analysis of AI enabled systems for assurance

Donghwan Lee

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

Siyi Liu

Analysis of AI-enabled systems for assurance, Human-centric design, Explainability and interpretability

Jason Ma

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability, Neurosymbolic learning, Human-centric design

Stephen Mell

Explainability and Interpretability

Aaditya Naik

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

Georgy Noarov

Artemis Panagopoulou

Explainability and Interpretability

Jean Park

Pardis Pashakhanloo

Explainability and interpretability, Neurosymbolic learning, Trusted AI for healthcare

Sydney Pugh

Trusted AI for healthcare

Jianing Qian

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and interpretability

Ramya Ramalingam

Alex Robey

ML algorithms with fairness/ privacy/ robustness/ safety guarantees

Princess Sampson

Junyao Shi

Kaustubh Sridhar

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Trusted AI for healthcare

Adam Stein

Davoud Ataee Tarzanagh

Trusted AI for healthcare, Explainability and interpretability

Aalok Thakkar

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Explainability and Interpretability, Human-centric design

Neelay Velingker

Neurosymbolic learning, explainability and interpretability, trusted AI for healthcare

Rongguan Wang

ML algorithms with fairness/ privacy/ robustness/ safety guarantees; Trusted AI for healthcare

Amanda Watson

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Trusted AI for healthcare

Christopher Watson

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Neurosymbolic learning

Mark Whiting

Human-centric design, Explainability and interpretability

Yinjun Wu

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Human-centric design, Trusted AI for healthcare

Anton Xue

Shiyun Xu

Explainability and interpretability

Yahan Yang

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, Analysis of AI-enabled systems for assurance, Trusted AI for healthcare

Fanyang Yu

Trusted AI for healthcare

Yi Zhang

Ben Zhou

Explainability and Interpretability, Neurosymbolic Learning

Ekaterina Fedora

Human-centric design and ML algorithms with fairness/privacy/robustness/safety guarantees

Jinqi Luo

Trustworthiness (interpretability, robustness) of multimodal foundation models and generative models

Vivek Gupta

Explainability and interpretability, Neurosymbolic Learning/Reasoning, Analysis of AI-enabled systems for assurance, Trusted AI for finance