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LLY
2025 - now
Senior Advisor, Genomics
Lilly
PFE
2021 - 2025
Senior Principal Computational Geneticist 2 roles
Pfizer
UCSD
2016 - 2021
PhD, Biomedical Sciences
University of California, San Diego · Gaulton Lab
IDx
2015 - 2016
Development Scientist 2 roles
IncellDx
NASA
2015
Microbiology Intern
National Aeronautics and Space Administration
UCLA
2011 - 2015
B.S., Microbiology, Immunology, and Molecular Genetics
University of California, Los Angeles
Experience
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2025 - now Boston, MA
Senior Advisor, Genomics
Lilly I collaborate with clinicians, biologists, and statisticians to generate mechanistic and biomarker insights from large-scale proteomics across phase 2/3 obesity trials, while building the analytical infrastructure supporting clinical omics research. -
2021 - 2025 Cambridge, MA
Senior Principal Computational Geneticist
Pfizer Senior Principal Computational Geneticist2023 - 2025I collaborated with cross-functional teams for cardiovascular and renal target discovery integrating human genetics, functional genomics, and large language models, while driving delivery of scalable cloud infrastructure for large-scale genomics analysis across the organization.Senior Computational Geneticist2021 - 2023I partnered with biologists to identify novel targets for cardiovascular and renal disease through integrative multi-omics, with several advancing into the portfolio, and served as the genetics expert for indication expansion teams. -
2016 - 2021 La Jolla, CA
Graduate Student Researcher
UC San Diego I led the largest GWAS for type 1 diabetes, implicating novel disease-relevant cell types through integration of human genetics and single-cell epigenomics, and published broadly across top journals throughout my PhD. -
2015 - 2016 Menlo Park, CA
Development Scientist
IncellDx Development Scientist2016Research Associate2015 - 2016I optimized a cell-based companion diagnostic assay for HIV that was subsequently acquired by a major pharmaceutical company. -
2015 Houston, TX
Microbiology Intern
National Aeronautics and Space Administration Johnson Space Center I developed a rapid assay for improved detection of infectious herpesviruses in astronauts.
Education
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2016 - 2021 La Jolla, CA
PhD, Biomedical Sciences
University of California, San Diego Dissertation: Understanding pancreatic mechanisms of diabetes risk with genetic association and single cell epigenome data
Advisor: Dr. Kyle Gaulton -
2011 - 2015 Los Angeles, CA
B.S., Microbiology, Immunology, and Molecular Genetics
University of California, Los Angeles
Selected Publications
- Plasma proteomic associations with genetics and health in the UK BiobankNature, 2023
- Interpreting type 1 diabetes risk with genetics and single-cell epigenomicsNature, 2021
- Single-cell chromatin accessibility identifies pancreatic islet cell type- and state-specific regulatory programs of diabetes riskNature Genetics, 2021
Honors & Awards
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2023 - Solving the Science ChallengePfizer Integrative Biology
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2018-2020 - Genetics Training Program FellowshipUC San Diegosource
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2018 - Charles J. Epstein Trainee Award for Excellence in Human Genetics Research, SemifinalistASHGsource
- Graduate Research Fellowship, Honorable MentionNSF
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2014 - J.W. and Nellie MacDowell ScholarshipUCLA
Professional Activities
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2023 - McKinsey Leadership Essentials
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2022-now - Ad hoc reviewer: Nature Communications, Diabetes, BMJ Open Diabetes Research & Care, Communications Biology, Scientific Reports, BBA Molecular Basis of Disease
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2016-now - Member, American Society for Human Genetics (ASHG)
Invited Talks & Presentations
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2025 Boston, MA
Advancing Early Target Discovery through Large-Scale Proteomics and Expansion Plans for the UKB-PPP
Festival of Genomics Boston - Invited talk
Technical Skills
Statistical Genetics
GWAS ExWAS Fine-mapping Colocalization Mendelian randomization pQTL eQTL Polygenic risk scores Meta-analysis Causal variant-to-gene mapping PLINK REGENIE
Genomics
scRNA-seq scATAC-seq Bulk ATAC-seq Multi-omic integration
Proteomics & Translational Research
Olink SomaScan Clinical trial proteomics Biomarker discovery EHR integration Survival analysis Target identification In silico validation Phenotyping
Machine Learning & AI
Machine learning Predictive modeling Deep learning LLM integration Agentic AI workflows Prompt engineering
Programming
Python R SQL pandas polars dask scanpy PyTorch scikit-learn Plotly Dash Streamlit
Cloud & Infrastructure
AWS (S3, EC2, Batch) HPC clusters Unix Nextflow Docker Singularity Conda Pixi uv Git FAIR data principles