Our Team
Meet the researchers and students behind our innovations.
Principal Investigator
Prof. Zhandong Liu
Associate Professor, Advancing Human-AI Interaction, Ethical AI & Computational Genomics
Faculty
Hyun-Hwan Jeong
Assistant Professor specializing in computational biology, bioinformatics tool development, and large-scale genomic data analysis
Junseok Park
Assistant Professor, computational scientist, and bioinformatician specializing in machine learning, large scale data pipelines
Yi Zhong
clincal natural language process, medical informatics, and data science
Postdoctoral Researchers
Jiasheng Wang
Developing computational methods and scalable pipelines for integrative genomics, combining DNA/RNA data and knowledge resources to support rare-disease gene prioritization and biological discovery. My work spans statistical modeling, machine learning, and high-performance computing to turn large-scale sequencing data into interpretable results.
Athanasios Papastathopoulos-Katsaros
Currently solving (or creating?) problems in biomedical informatics.
Research Support
Zahid Shaik
Bioinformatics Programmer II and your go-to tech guy, building scalable software systems and tools that help research run smoother and faster.
Jaeyeon Lee
Bioinformatics analyst supporting lab research with practical AI and data analysis tools.
Zhijian Yu
Bioinformatics Analyst experienced in scRNA-seq and multi-omics workflows, working closely with investigators to provide tailored, project-oriented analyses.
PhD Students
Christopher Yates
PhD student specializing in AI and machine learning. I develop AI-powered multi-omic genetic differential diagnostic models capable of diagnosing rare diseases with high precision, LLM frameworks to synthesize knowledge in tables and text into knowledge graphs, and statistical methods to understand the genomic and metabolomic interactions in neurodegenerative diseases.
Daniel Palacios
PhD student specializing in AI and machine learning for clinical informatics, developing LLM-powered systems and AutoML workflows for healthcare applications including rare disease identification, postpartum mental health prediction, and pediatric disease analysis.
Jorge Botas
PhD student specializing in computational biology, comparative genomics, and machine learning methods for large-scale genomic and single-cell data analysis.
Kai-Li Chang
PhD student specializing in developing deep learning models for single-cell transcriptomics.
Matthew Brady Neeley
Graduate Student specializing in natural language processing, large language models, foundation model development, rare disease, and clinical decision support systems
Juliana Yue
Computational biology and bioinformatics study in mobile/transposable elements.
Ilia Buralkin
PhD student specializing in computer vision and multimodal deep learning with applications in genomics and medical imaging.
Meichen Huang
Graph neural networks and computational genomics for autism spectrum disorder risk prediction
