Shaun Geer
Grounded in research. Focused on delivery.
I build research tools and work through the questions that make them useful. My current work focuses on LLMs for scientific data: turning patient reports into structured records, investigating extraction errors, and understanding how those errors change the conclusions.
My background spans research at Harvard, Los Alamos, and UC Davis, including HIV vaccine research and online social networks, followed by product and partnerships work in health technology and AI infrastructure. I like work that needs both technical depth and an understanding of people.
01 / Selected Work
Selected work
Research & Technical Projects
Team Project · Scientific Data · LLM Evaluation
Lived Expertise
- ·From reports to research: A research pipeline and dashboard exploring patient-reported symptoms and treatment experiences across 14 online communities.
- ·My work: Built ingestion and analysis workflows, evaluated extraction errors, and co-developed research partnerships.
- ·Research output: Co-authored a six-treatment Long COVID pilot and wrote a public account of the work.
Health Technology · Product Development
Tamarin Health
- ·Research to product: Led technical scoping for a health-data product using privacy-preserving computation, working with faculty from CMU and UPenn and engineering partner Ligero.
- ·MVP definition: Authored the integration documentation used as the source of truth for the MVP.
- ·Execution: Secured $130K+ in non-dilutive funding and translated technical progress into NSF reports and stakeholder communications.
Research Engineering · Open-Source Contributor
Naturalv2
- ·My contributions: Adapted the research pipeline to Long COVID and improved extraction, aggregation, and statistical weighting.
- ·Log probabilities: Used token-level model probabilities to study trial eligibility and how inclusion weighting changes outcome estimates.
- ·Engineering: Merged upstream fixes that keep treatment reports tied to the right person and use authors as the unit of analysis.
User Research & Product Discovery
Interviews and qualitative analysis that turn user needs into practical product and organizational recommendations.
Qualitative Research · Org Design
Contributor Onboarding Research
- ·Question: Why were motivated contributors struggling to find work and advance within the organization?
- ·Method: Semi-structured interviews and thematic synthesis of contributors' experiences.
- ·Finding: Unclear selection criteria, poor visibility into available work, and reliance on informal introductions created uncertainty.
- ·Recommendation: Publish clear criteria and timelines, make work opportunities visible, and create mentored working groups.
Community Research · Interview Study
Artist Community Research
- ·Question: What did members at different career stages need from an artist community?
- ·Method: Three exploratory interviews with members at different stages of their involvement.
- ·Finding: Participants sought different combinations of peer feedback, mentorship, and professional development.
- ·Recommendation: Separate showcase and feedback channels, add career resources, and develop alumni-led learning sessions.
Research methods guides: question development, interviewing, thematic analysis, and survey design.
02 / Recent Experience
Where I've built & shipped
Click on each role for more information