About Me

I’m a biomedical engineer turned molecular biologist turned data scientist who has spent my career at the intersection of discovery, translation, data, and technology in cancer research. Over more than 15 years, my work has focused on connecting the technical with the human, building bridges between scientists, clinicians, and data and technology professionals to make biomedical research more reproducible, scalable, and impactful.

In recent years, I’ve expanded that focus from the data and technologies that support individual research labs and consortia to institution-scale strategy around data, technology, and AI. My work now spans data strategy, data governance, research data infrastructure, data products, and responsible AI, with a particular interest in how these capabilities can broaden access to high-quality data and enable a more diverse community of researchers and innovators to drive the next wave of discovery in oncology, healthcare, and therapeutics.

Data & AI Strategy

I work on the organizational and technical problems that determine whether data and AI can actually be used well at scale. That includes developing data strategy and governance, building research data infrastructure and data products, defining operating models, and creating the partnerships and decision-making structures needed to sustain them.

I’m especially interested in environments where the challenge is not purely technical: where success depends on aligning scientists, clinicians, engineers, data scientists, operational leaders, and executives around a common direction. Much of my work has focused on translating between those groups and building programs that are technically sound, practical to operate, and useful to the people they are intended to serve.

My current areas of interest include data and AI strategy, research data management, data governance, responsible AI, translational data infrastructure, organizational design, and the development of new data and technology programs.

Research & Collaboration

As a research scientist, I have always been drawn to problems that sit between the data we generate, the technologies we apply to them, and the biological questions we hope to answer.

My research experience includes genomic data integration, single-cell and bulk sequencing analysis, cloud-based bioinformatics, biomedical data science, and research data management in regulated environments. I am particularly interested in collaborations that require bringing together scientific questions, complex data, informatics, or emerging computational approaches.

Human

Outside of work, I’m a hobby potter, a sucker for a rescue dog, and someone who enjoys being involved in my local community. Over the years, that has included informal science education with kids from elementary to middle school, coaching youth sports, delivering groceries for the Ballard Food Bank, and building Tiny Homes with middle schoolers for LIHI.

I value working with people who are curious, collaborative, kind, and willing to tackle difficult problems without taking themselves too seriously.

Contact

I’m always on the lookout for something I haven’t yet done, science, strategy or otherwise. If you’d like to meet up and chat, use this link to schedule something or drop me an email.

I remain interested in collaborative research and programmatic work with academic research centers, consortia, and scientific organizations. I also provide limited independent consulting to research, healthcare, biotechnology, and scientific organizations on data strategy, data governance, research data management, responsible AI, and related organizational challenges.

The details of my professional experience can be found on my LinkedIn profile. A brief resume can be downloaded here.