📍 Columbus, OH | 🧬 Biomedical AI Infrastructure

Building AI agent infrastructure for biomedical research — bridging LLMs, cloud computing, and multi-omics data at Ohio State's Comprehensive Cancer Center.

• A platform for the biomedical application of large language models — Nature Biotechnology 2025 doi

• Common and divergent cellular aetiologies underlying HLHS and HRHS — European Heart Journal 2025 doi
• Cell-free RNA signatures in maternal blood with fetal congenital heart disease — Circulation Research 2024 doi
• Identifying intratumoral microbes from the ORIEN dataset — Cancer Research Communications 2024 doi ^★
• Abnormal progenitor cell differentiation in hypoplastic right heart syndrome — Circulation 2024 doi
• Impaired human cardiac cell development due to NOTCH1 deficiency — Circulation Research 2023 doi ^★
• Microglia coordinate cellular interactions during spinal cord repair — Nature Communications 2022 doi
• NIH SenNet Consortium to map senescent cells throughout the human lifespan — Nature Aging 2022 doi

• ssREAD: A single-cell and spatial RNA-seq database for Alzheimer's disease — Nature Communications 2024 doi ^★
• scGNN: A novel graph neural network framework for single-cell RNA-Seq — Nature Communications 2021 doi
• IRIS3: Integrated cell-type-specific regulon inference server from scRNA-Seq — Nucleic Acids Research 2020 doi ^★
• scREAD: A single-cell RNA-Seq database for Alzheimer's disease — iScience 2020 doi ^★

_{^★ first or co-first author}

• AI Agent Systems - RAG pipelines, knowledge graphs, LLM integration for biomedical research workflows
• Cloud Infrastructure - Designing and managing HIPAA-compliant research computing platforms (AWS, Azure)
• Multi-omics Analysis - Single-cell, spatial transcriptomics, and multi-omics data for cancer immunotherapy and neurodegenerative diseases
• Full-stack Development - Research web applications, databases, and knowledgebases (Vue.js, NestJS, TypeScript, MySQL)