Kevin Jin

he/him/his

PhD Student, Computational Biology and Biomedical Informatics

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About

Titles

PhD Student, Computational Biology and Biomedical Informatics

Biography

Kevin Jin is a fourth-year PhD candidate in the Interdepartmental Program in Computational Biology and Biomedical Informatics at Yale University. He is advised by Hua Xu in the Clinical NLP Lab, a research group in the Department of Biomedical Informatics and Data Science at Yale School of Medicine. He completed his undergraduate work at Johns Hopkins University, receiving a B.S. in Molecular and Cellular Biology in 2020. He is supported by the NSF Graduate Research Fellowship.

Last Updated on September 02, 2026.

Education & Training

Research Assistant: The University of Texas at Dallas (2023)

Research Intern: The University of Texas Southwestern Medical Center (2023)

BS: Johns Hopkins University, Molecular and Cellular Biology (2020)

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Research

Overview

Kevin's research focuses on developing a multi-agent, large-language-model-based clinical decision support system for psychiatry.

ORCID
0000-0002-9217-4803
Clinical NLP Lab
Legacy site: https://clinicalnlp.org/
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Research at a Glance

Yale Co-Authors

Frequent collaborators of Kevin Jin's published research.

Curtis R. Pickering, PhD
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Hamada Hamid Altalib, DO, MPH, FAES
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Hua Xu, PhD
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Publications

2026

Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review
Li F, Li P, Bhandarkar A, Huo N, Raja K, Hong N, Kumar R, Altalib H, Lu Y, Wang T, Lei Y, Jin K, Li H, Cao W, Oesterle T, Chen Y, Tao C, Xu H. Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2026, s2451-9022(26)00086-8. PMID: 41921663, PMCID: PMC13377839, DOI: 10.1016/j.bpsc.2026.03.013.
Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements

2025

A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records
Rong R, Gu Z, Lai H, Nelson T, Keller T, Walker C, Jin K, Chen C, Navar A, Velasco F, Peterson E, Xiao G, Yang D, Xie Y. A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records. JAMIA Open 2025, 8: ooaf026. PMID: 40213364, PMCID: PMC11984207, DOI: 10.1093/jamiaopen/ooaf026.
Peer-Reviewed Original Research

2024

Deep Learning-Based Automated Measurement of Murine Bone Length in Radiographs
Rong R, Denton K, Jin K, Quan P, Wen Z, Kozlitina J, Lyon S, Wang A, Wise C, Beutler B, Yang D, Li Q, Rios J, Xiao G. Deep Learning-Based Automated Measurement of Murine Bone Length in Radiographs. Bioengineering 2024, 11: 670. PMID: 39061752, PMCID: PMC11273961, DOI: 10.3390/bioengineering11070670.
Peer-Reviewed Original Research
Bayesian hidden mark interaction model for detecting spatially variable genes in imaging-based spatially resolved transcriptomics data
Yang J, Jiang X, Jin K, Shin S, Li Q. Bayesian hidden mark interaction model for detecting spatially variable genes in imaging-based spatially resolved transcriptomics data. Frontiers In Genetics 2024, 15: 1356709. PMID: 38725485, PMCID: PMC11079231, DOI: 10.3389/fgene.2024.1356709.
Peer-Reviewed Original Research

2023

Artificial intelligence in mental healthcare: an overview and future perspectives
Jin K, Li Q, Xie Y, Xiao G. Artificial intelligence in mental healthcare: an overview and future perspectives. British Journal Of Radiology 2023, 96: 20230213. PMID: 37698582, PMCID: PMC10546438, DOI: 10.1259/bjr.20230213.
Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
MeSH Keywords
Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research
Yang D, Zhou Q, Furman-Cline L, Cheng X, Luo D, Lai H, Li Y, Jin K, Yao B, Leavey P, Rakheja D, Lo T, Hall D, Barkauskas D, Shulman D, Janeway K, Khanna C, Gorlick R, Menzies C, Zhan X, Xiao G, Skapek S, Xu L, Klesse L, Crompton B, Xie Y. Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research. JCO Clinical Cancer Informatics 2023, 7: e2300104. PMID: 37956387, PMCID: PMC10681418, DOI: 10.1200/cci.23.00104.
Peer-Reviewed Original Research
MeSH Keywords
A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number
Zhang X, Gleber-Netto F, Wang S, Jin K, Yang D, Gillenwater A, Myers J, Ferrarotto R, Pickering C, Xiao G. A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number. Cancers 2023, 15: 3891. PMID: 37568707, PMCID: PMC10416878, DOI: 10.3390/cancers15153891.
Peer-Reviewed Original Research
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
Rong R, Sheng H, Jin K, Wu F, Luo D, Wen Z, Tang C, Yang D, Jia L, Amgad M, Cooper L, Xie Y, Zhan X, Wang S, Xiao G. A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization. Modern Pathology 2023, 36: 100196. PMID: 37100227, PMCID: PMC11161202, DOI: 10.1016/j.modpat.2023.100196.
Peer-Reviewed Original Research
MeSH Keywords
Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images
Wen Z, Lin Y, Wang S, Fujiwara N, Rong R, Jin K, Yang D, Yao B, Yang S, Wang T, Xie Y, Hoshida Y, Zhu H, Xiao G. Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images. Genes 2023, 14: 921. PMID: 37107679, PMCID: PMC10137944, DOI: 10.3390/genes14040921.
Peer-Reviewed Original Research
MeSH Keywords

Academic Achievements & Community Involvement

Honors

honor
Conference Travel Fellowship
10/01/2025Yale University AwardGraduate Student Assembly
Details
honor
NSF Graduate Research Fellowship
06/06/2025National AwardNational Science Foundation
Details

Teaching & Mentoring

Teaching

Didactic
Data Science Grant-Writing Practicum (CB&B 7510)
Supervising FacultyLecture Setting
Details

Willing and Available to Mentor
- Students

Get In Touch

Locations

101 College Street
Lab
Fl 10
New Haven, CT 06510
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Social Media
- Kevin Jin
- kevinwjin

Titles

Biography

Education & Training

Overview

ORCID

Clinical NLP Lab

Research at a Glance

Yale Co-Authors

Curtis R. Pickering, PhD

Hamada Hamid Altalib, DO, MPH, FAES

Hua Xu, PhD

Publications

2026

2025

2024

2023

Honors

Conference Travel Fellowship

NSF Graduate Research Fellowship

Teaching

Data Science Grant-Writing Practicum (CB&B 7510)

Willing and Available to Mentor

Related Links

Locations

101 College Street

Social Media