Assistant Professor · Informatics · NJIT

Chenxi (Chelsea) Yuan

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

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Newark, NJ

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 · DBEI, Perelman School of Medicine · 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 in generative AI

I'm looking for highly self-motivated Ph.D. students. 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

Alzheimer's Association

NASA