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Director of AI/ML

Athos Therapeutics

I lead the engineering team building an agentic AI platform for multi-omic data analysis in drug discovery. I work on two fronts: optimizing the agent system itself, and building an evaluation suite that measures how agents perform across every phase of the discovery process, with LLM judges grading their output.

• Agentic AI systems
• Agent benchmarking
• LLM-as-a-judge evaluation
• Multi-omic data
• Drug discovery

Staff Scientist, Warren Lab

Fred Hutchinson Cancer Center

I led QUEST, a project that uses protein language models to predict which targets T-cells recognize, and built its data and training pipeline for 2.6 billion sequences on multi-GPU cloud servers. I also studied the immune response to Kaposi sarcoma and other virus-linked cancers by combining single-cell, bulk RNA-seq, and immune repertoire data. Co-PI on a Yosemite-American Cancer Society Award.

• Protein language models
• Biological sequence modeling
• T-cell antigen recognition
• Multi-omic data integration
• Comparative viral genomics

Bioinformatics Analyst

Fred Hutchinson Cancer Center

I built LymphoSeq2, an open-source R package for immune repertoire analysis, and automated pipelines for single-cell and immune repertoire data.

• LymphoSeq2
• Nextflow pipelines
• Immune repertoire analysis

SWEP Graduate Researcher

Centers for Disease Control and Prevention, Malaria Branch

I built NeST, a sequencing analysis toolkit for tracking malaria drug resistance. It was adopted as a standard protocol across six CDC laboratories.

• NeST
• Drug resistance surveillance
• Genome assembly

PhD

Georgia Institute of Technology

Bioinformatics

MS

Georgia Institute of Technology

Bioinformatics

BE

PES Institute of Technology

Biotechnology