CV

Postdoctoral Researcher

• February 2026–present. Advisor: Erick Matsen.
• Models combining antibody sequence transformers with explicit mutation, codon-preference, and amino-acid selection components.

Postdoctoral Researcher

• December 2024–December 2025. Advisors: Junhyong Kim and Nancy Zhang.
• Developed CoPro to identify coordinated progression of cell states in spatial transcriptomics.

PhD in Genomics and Computational Biology

• Completed December 2024. Advisor: Junhyong Kim.
• Thesis: Statistical foundations of single cell open chromatin assays.

MA in Statistics and Data Science

• Completed May 2024. Advisor: Nancy Zhang.
• Thesis: Charting the coordinated progression of cell states in spatial transcriptomic data.

BS in Biological Sciences

• Minor in Applied Mathematics.

CoPro

• Detects coordinated cell-state progression in spatial transcriptomics.
• Python implementation.

PACS

• Depth-corrected multifactor testing of chromatin accessibility in scATAC-seq.

PIC

• Corrects insertion-counting artifacts in single-nucleus ATAC-seq quantification.

Guest Lecturer

• STAT-9915: Advanced Topics in Biomedical Data Science.
• Lectured on statistical methods for single-cell chromatin accessibility, including PIC and PACS.

Graduate Teaching Assistant

• BIOM/CIS/MTR-5350: Introduction to Bioinformatics.
• GCB-5330: Statistics for Genomics and Biomedical Informatics.
• Held weekly office hours, developed course materials, and supported students with statistical and computational analyses.

Research Mentoring

• Kernyu Park, research assistant: benchmarking statistical tests for scATAC-seq data.
• Elena Theus, undergraduate student: visualization tools for single-cell multiomics.

Third Place Poster Award

University of Pennsylvania Nominee for the Regeneron Prize for Creative Innovation

• Selected as Penn's sole predoctoral nominee.

NIH-CZI Junior Atlas Builder Travel Grant

Blavatnik Family Fellowship in Biomedical Research

• One of six recipients across Penn Medicine PhD candidates.

Semifinalist, Charles J. Epstein Trainee Awards for Excellence in Human Genetics Research

ACGA Trainee Award

• Awarded to the top three predoctoral students' platform presentations.

Outstanding Graduate

National Scholarship

Poling Scholarship

• Awarded to ten students in the Poling Program for academic performance.

First Place, Fifth Life Sciences Students' Experimental Skills Competition in Tianjin

• ASA Section on Statistics in Genomics and Genetics meeting, lightning talk: Modeling coordinated progression in spatial transcriptomics with CoPro.

• ASA Section on Statistics in Genomics and Genetics meeting, platform presentation: Model-based compound hypothesis testing for snATAC-seq data with PACS.

• Cold Spring Harbor Laboratory Single Cell Analyses meeting, platform presentation: Model-based compound hypothesis testing for snATAC-seq data with PACS.
• NIH Junior Atlas Builder meeting, lightning talk: Atlas-scale integrative analysis of snATAC-seq data with PACS.

• ReBuilding a Kidney semiannual meeting: Best practices of quantification for single cell epigenomics data.
• Penn IRM Stem Cell Club: Charting kidney development through single cell multiomics study.

• ASHG annual meeting, platform presentation: Characterizing cellular communication in the human brain by single-cell RNA-seq.
• MidAtlantic Bioinformatics Conference, lightning talk: Charting cellular communication network in Alzheimer’s Disease.

GCB Advising Committee

• Advised first-year PhD students on course selection and helped second-year students prepare for candidacy exams.

Journal and Conference Reviewer

• Nature Machine Intelligence, Genome Biology, PLOS Computational Biology, Communications Biology, ISMB, ICLR, and other journals and conferences.

Graduate Student Intern, Computational Biology

• June–August 2022. Supervisor: Robert Tunney.
• Optimized parallel computation and data handling in TACTICAL and extended the framework to single-cell ATAC-seq data.