I am a Research Software Engineer and full-stack web developer. I design and implement solutions to help teams understand complex datasets and collaborate across many fields of study. My collaborators have included physical scientists, biologists, and automotive engineers, among many others. And the technology stacks I have worked with are almost as diverse!
External: Publications - LinkedIn
I have been fortunate to work on a number of small teams with outsized impact:
- my.locuszoom.org: The field standard for visualizations to show genetic research findings in context. A web based service that asynchronougly ingests user-provided data, applies an annotation pipeline, and enables sharing of harmonized published datasets to the global community. Permissively licensed: use the entire site, or just the modular components and customize to your needs.
- TOPMed Imputation Server: Provides high-quality "big data" scientific workflows in a protected AWS compute environment. By providing genotype imputation, we can enable drastically more cost effective research and lower the barriers to entry.
- Open Science Framework / OSF Preprints: Upload articles and datasets to share and get a DOI. Data sharing and collaboration features.
- Genes for Good, MIT Lookit, and others: Recruit diverse audiences nationwide to help contribute to better, more representative research. Surveys, videos, and other capabilities
For more projects, browse the list of public repositories I have worked on!
- Bringing software engineering best practices into the R&D space (a few example presentations)
- Leveraging new technologies to foster better insights. I like learning something new!
- Combining metrics and user insights to deliver the right features at the right time
- Architecture (front and backend)
- Working with great collaborators and learning something new
- Choosing the right technologies to deliver impactful solutions
- Making things a little better every day: software testing, usability, and driving continuous improvement across teams