Bio- and health-tech consulting with focus areas in digital health, diagnostics, therapeutics, and education. Results include analytical guidance through FDA approval and iterating ML solutions for improved efficacy and product/market-fit.
Taught data science applications in Python at UCSF’s Health Data Science Masters Program. Course topics include: SQL, data cleaning with Pandas, classification & model evaluation, vision, and building an LLM from scratch.
Advised portfolio companies and prospects on medical/health data science applications. Interviewed startups to improve their pitches, reviewed applications for grants/funding, and paired with select startups for long-term consulting.
Director - Experimentation
Founded Experimentation and led Marketing Analytics. Designed and built A/B testing platform and hired data science team with multiple 20%+ wins. Owned top-of-funnel reporting, budget/forecasting, governance, and root cause analysis.
Director - Data Science & Growth
Founded Growth and led Data Science. Set roadmaps & strategy, established experimentation platform & practices for A/B tests, features, and pricing. Improved ML error grouping (Rollbar’s differentiator) by 35% and reduced noise by 80%.
Co-founded a startup helping independent contractors with their banking and taxes. As head of product and research, I recruited and hired engineering & design and set sprint and epic priorities while building our MVP.
Growth & Monetization Lead
Led PM’s (10) responsible for Dropbox's individual plan paid conversion (majority of revenue) through IPO. Launched free trials for Dropbox mobile and redesigned the over-quota flow (where most free users convert) resulting in $80m+ ARR lift.
Founded and led data science team (5) through IPO. Owned A/B testing, attribution, causal inference, & ROAS resulting in 250,000+ MAU, millions saved in marketing. Recruited data engineering team (4) and marketing analytics (10).
Experiment Design & Analysis
Designed methodologies for generative research on web-scale data. Created and extended tools for more informed planning efficiency in site-wide experimentation using standardized KPI’s and user segments.
Designed outcomes-based model of mental health systems using Markov processes at this Harvard-affiliated research group. Conducted statistical and meta-analyses to improve patient outcomes through evidence-based policy.
Mapped portions of the human genome as a tiling path of bacterial artificial clones informed by disparate data sources & comparative genomics. Collaborated in publishing the Human Genome Project, with two articles in Nature.