Nicole Gay, Phd Email & Phone Number

California, United States

Sunnyvale, California, US

• Build and maintain scalable and efficient compute infrastructure for engineers and customers.
• Achieved an 80% cost reduction for the company’s most expensive compute by developing scalable cloud pipelines with Python and AWS, enhancing both accuracy and turnaround times.
• Led the full lifecycle of critical engineering projects, from requirements gathering and architecture reviews to development, validation, and successful release.
• Boosted developer productivity and code health by establishing streamlined testing frameworks, optimizing CI/CD pipelines, and creating comprehensive documentation.
• Cultivated positive team culture by organizing team-building activities, actively participating in knowledge-sharing, and improving team processes.

Palo Alto, CA, US

• Developed well-documented R packages and pkgdown websites to improve access to and analysis of a complex multi-tissue multi-omic consortium dataset.
• Implemented version control and continuous integration using git, GitHub, and GitHub Actions
• Developed and led virtual (Zoom) and in-person (University of Florida) interactive workshops to teach trainees how to leverage the consortium R packages in their own research.
• Coordinated internal consortium review, journal submission, and revisions for a large consortium manuscript with 184 authors.

Palo Alto, CA, US

• Spearheaded the analysis and publication of a groundbreaking $15M dataset produced by the Molecular Transducers of Physical Activity Consortium (MoTrPAC), a national consortium of 31 sites whose goal is to understand.
• Co-led a multi-site team of 88 senior scientists, driving the analysis and publication of the dataset through effective leadership, coordination, and communication across the consortium.
• Automated data workflows and error-prone manual procedures using Snakemake, R, & Python, improving reproducibility, efficiency, and accuracy of results.
• Programmatically generated interactive data visualizations with R Markdown, improving collaboration and accelerating the identification of key findings through impactful presentation of complex data.
• Led genomics data management for Stanford, collaborating with the consortium data center to implement robust data processing and quality control pipelines and data visualization tools.
• Presented findings at numerous venues, including 1 invited seminar & computational workshop, 3 external symposia, 10 Stanford and MoTrPAC conferences, and weekly consortium meetings.

Palo Alto, CA, US

• Led the full lifecycle of a computational research project, from inception to publication.
• Achieved a 10x performance improvement of a lab pipeline using Python and Snakemake.
• Developed memory-efficient Python programs for large-scale bioinformatic data analysis.
• Parallelized 1.6B statistical association tests in an HPC environment using R and Bash.

Bar Harbor, ME, US

• Completed an independent computational project within the competitive 10-week Summer Student Program.
• Compiled a database of ~15,000 microbial genomes (50 GB) using bash and HPC, tripling the size of the existing database and improving identification of microbial species in skin samples
• Wrote a reproducible pipeline to facilitate future compilation of updated genome databases

Storrs, CT, US

Athens, GA, US

Doctor Of Philosophy - Phd, Genetics

Bachelor Of Science (B.S.), Biomedical/Medical Engineering

High School Diploma