Founded the Growth org and led the Data Science team, reporting to the CEO. Set priorities, roadmaps, and strategy for both teams and hired technical leadership. Established a platform for experimentation and best practices for feature instrumentation. Growth activities included features, experiments, and competitive pricing. Improved Rollbar’s competitive differentiator (ML grouping of errors) by 35% and released anomaly detection, reducing alert noise by 80%.
Co-founded fintech startup focused on helping independent contractors with their banking and taxes, targeting gig economy workers. As head of product and research, I secured initial funding, recruited and hired engineering & design, and set sprint and epic priorities while building MVP.
Led a team of 10 responsible for the growth of Dropbox's individual paid plans (representing the majority of revenue) through IPO. Launched free trials for Dropbox mobile and redesigned the over-quota user state (where most free users convert to paid). Web, email, and in-product experiments resulted in wins totaling $80m+ in annual recurring revenue.
Founded, hired, and led the growth data science team (5 people) from pre- to post-IPO. Responsible for A/B testing, personalization, and optimization of Atlassian signup flows as well as research design for online marketing efficacy, causal inference, attribution, and ROAS models. Winning experiments resulted in 250,000 additional active users and millions of dollars in saved marketing spend. Recruited and interviewed the entire marketing analytics team of 10.
Designed methodologies for generative research on web-scale data. Created and extended analytical, segment-based tools for more informed planning and improved efficiency in the experimentation of site-wide changes. Designed tools and protocols for running experiments on terabyte-scale datasets.
Served as a lead statistical analyst in studies of disease course, therapeutic effects, and clinical adherence. Synthesized data across multiple sources, including large, multiple-hundred-gigabyte datasets.
Taught graduate course in analytics, data-mining, and visualization with a focus on business applications.
Planned and conducted statistical analysis of clinical trial data demonstrating the efﬁcacy of therapeutic interventions and medical devices.
Developed and taught semester-length classes at the undergraduate, master's, and doctoral levels. Course topics included statistics, computer science, remedial mathematics, and calculus.
Conducted novel cryptographic research within a consortium of universities and information industry partners alongside the U.S. Army Research Labs and U.K. Ministry of Defense / Government Communications Headquarters.
Designed an economic and outcomes-based model of mental health systems based on Markov processes. Oversaw and conducted primary statistical analyses and meta-analytic comprehensive reviews. Researched meta-analysis of disparate Markov transition probability tables into a single simulation.
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.