Assistant Professor · Informatics · NJIT

Chenxi (Chelsea) Yuan

I build reliable AI that learns and makes decisions under uncertainty, incomplete information, and heterogeneous real-world data — with a focus on healthcare.

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Newark, NJ
Portrait of Chenxi (Chelsea) Yuan
firstname.lastname@njit.edu

Background

2024 –
Assistant Professor
Department of Informatics · Ying Wu College of Computing · New Jersey Institute of Technology

2022 – 2024
Postdoctoral Researcher
University of Pennsylvania · Perelman School of Medicine, DBEI · with Rebecca A. Hubbard & Kristin A. Linn
2017 – 2022
Ph.D., Industrial Engineering
Northeastern University · advised by Mohsen Moghaddam
2015 – 2017
M.S., Industrial Engineering
University of Florida
2011 – 2015
B.S., Mechanical Engineering
Northwest University, China

Research

AI methods that stay reliable when data are heterogeneous, incomplete, and high-stakes.

01

Trustworthy & reliable AI

Uncertainty quantification and fairness — models that know when they don't know and treat people equitably.

02

Multimodal & generative AI

Learning across images, records, and time series, and building generative models that can be trusted.

03

AI for healthcare

Medical imaging, longitudinal health data, and Alzheimer's disease and related dementias (AD/ADRD).

News

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Fall 2024
Joined the Department of Informatics at NJIT as an Assistant Professor.
Now recruiting

Ph.D. students and interns in generative AI

I'm looking for highly self-motivated Ph.D. students and interns. Email your CV, transcript, and anything else you'd like to share.

GRE is required. Please apply only if you have taken the GRE or plan to take it soon.

firstname.lastname@njit.edu

My lab is supported by

The Michael J. Fox Foundation logo
The Michael J. Fox Foundation
Alzheimer's Association logo
Alzheimer's Association
NASA logo
NASA