I am an enthusiastic AI research scientist (Senior Staff Data Scientist) at GE HealthCare Foundation AI group. My research focus on post-training of large vision language model, AI (Multi-) Agents, responsible AI in HealthCare domain for multiple modalities.

Prior to joining GE HealthCare, I was a Bioinformatics and Computational Biology PhD student at the University of North Carolina at Chapel Hill under the supervision of Dr. Yun Li and Dr. Laura Raffield. During my PhD study, I majorly focused on using deep learning methods to perform super-resolution for genome interaction data. I developed a convex optimization algorithms for high-dimensional matrices from real datasets (e.g., UK Biobank data) to accelerate linear regression using strong rules and safe rules. I developed a statistical method to perform thousands of association analyses between genome-predicted metabolites and over 800 ICD-10 diseases. In 2023, during my Biostatistics machine learning summer intern at Merck Sharp & Dohme, I was also fortunate to develop a machine learning method for polygenic risk score with genome-environment interaction.

Publications

Focus on what matters: Enhancing medical vision-language models with automatic attention alignment tuning

A Chang, L Huang⭐, AJ Boyd, P Bhatia, T Kass-Hout, C Xiao, F Ma
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025, Main

MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models

A Chang, L Huang⭐, P Bhatia, T Kass-Hout, F Ma, C Xiao
arXiv preprint arXiv:2503.02157, 2025

GENETIC DISSECTION OF COMPLEX DISEASES AND TRAITS WITH OMICS

L Huang
PhD Dissertation, University of North Carolina at Chapel Hill, 2024

TOP-LD: A tool to explore linkage disequilibrium with TOPMed whole-genome sequence data

L Huang, JD Rosen, Q Sun, J Chen, MM Wheeler, Y Zhou, YI Min, …
*The American Journal of Human Genetics 109 (6), 1175-1181, 2022

A systematic evaluation of Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data

L Huang , Y Yang, G Li, M Jiang, J Wen, A Abnousi, JD Rosen, M Hu, Y Li
*Briefings in Bioinformatics 23 (3), bbac145, 2022

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses

L Huang, B Yang, H Yi, A Asif, J Wang, T Lithgow, H Zhang, FAA Minhas, …
Nucleic Acids Research 49 (D1), D622-D629, 2021

dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation

L Huang, H Zhang, P Wu, S Entwistle, X Li, T Yohe, H Yi, Z Yang, Y Yin
Nucleic Acids Research 46 (D1), D516-D521, 2018

Gene expression and splicing QTL analysis of blood cells in African American participants from the Jackson Heart Study

J Wen, Q Sun, L Huang, L Zhou, MF Doyle, L Ekunwe, P Durda, NC Olson, …
Genetics 228 (1), iyae098, 2024

Carbohydrate-active enzyme annotation in microbiomes using dbCAN

J Zheng, L Huang, H Yi, Y Yan, X Zhang, J Akresi, Y Yin
bioRxiv, 2024

dbCAN3: automated carbohydrate-active enzyme and substrate annotation

J Zheng, Q Ge, Y Yan, X Zhang, L Huang, Y Yin
Nucleic Acids Research 51 (W1), W115-W121, 2023

dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes

J Zheng, B Hu, X Zhang, Q Ge, Y Yan, J Akresi, V Piyush, L Huang, Y Yin
Nucleic Acids Research 51 (D1), D557-D563, 2023

Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm

W Liu, Q Sun, L Huang, A Bhattacharya, GW Wang, X Tan, KCK Kuban, …
Journal of neurodevelopmental disorders 14 (1), 16, 2022

Pleiotropic modifiers of age-related diabetes and neonatal intestinal obstruction in cystic fibrosis

MA Aksit, H Ling, RG Pace, KS Raraigh, F Onchiri, AV Faino, K Pagel, L Huang, …
The American Journal of Human Genetics 109 (10), 1894-1908, 2022

Leveraging TOPMed imputation server and constructing a cohort-specific imputation reference panel to enhance genotype imputation among cystic fibrosis patients

Q Sun, W Liu, JD Rosen, L Huang, RG Pace, H Dang, PJ Gallins, EE Blue, …
Human Genetics and Genomics Advances 3 (2), 2022

Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies

Q Sun, M Graff, B Rowland, J Wen, L Huang, TW Miller-Fleming, …
Journal of human genetics 67 (2), 87-93, 2022

From GWAS variant to function: A study of∼ 148,000 variants for blood cell traits

Q Sun, CA Crowley, L Huang, J Wen, J Chen, EL Bao, PL Auer, G Lettre, …
Human Genetics and Genomics Advances 3 (1), 2022

SnapHiC2: A computationally efficient loop caller for single cell Hi-C data

X Li, L Lee, A Abnousi, M Yu, W Liu, L Huang, Y Li, M Hu
Computational and structural biotechnology journal 20, 2778-2783, 2022

eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data

Y Yang, Q Sun, L Huang, JG Broome, A Correa, A Reiner, …
Briefings in Bioinformatics 23 (1), bbab497, 2022

COBRAC: a fast implementation of convex biclustering with compression

H Yi, L Huang, G Mishne, EC Chi
Bioinformatics 37 (20), 3667-3669, 2021

Machine learning and deep learning in genetics and genomics

D Wu, DS Karhade, M Pillai, MZ Jiang, L Huang, G Li, H Cho, J Roach, …
Machine Learning in Dentistry, 163-181, 2021

VAMPIRE: A model blood cell trait focused annotation tool for interpretation and prioritization of complex trait genome-wide association study results

C Crowley, Q Sun, L Huang, EL Bao, P Auer, G Lettre, AP Reiner, …
bioRxiv, 2021.02.16.431409, 2021

AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses

H Yi, L Huang, B Yang, J Gomez, H Zhang, Y Yin
Nucleic acids research 48 (W1), W358-W365, 2020

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation

H Zhang, T Yohe, L Huang, S Entwistle, P Wu, Z Yang, PK Busk, Y Xu, …
Nucleic acids research 46 (W1), W95-W101, 2018

⭐ indicates mentorship.

* indicates co-first.