• Founded the Metrics & Measurements Team, wrote its charter and roadmaps, and led the team’s work which included major efforts around developing new business & product success metrics and expanding the capabilities and ease-of-use of our Experimentation Platform.• Integral to the creation and implementation of various cross-functional processes and procedures including: - A Data Validation Process, leading to the successful replacement of multiple outdated data collection pipelines and the official acceptance of brand new datasets. - The Metric Levels Taxonomy, significantly improving & simplifying the discoverability of the “single source of truth” of metrics and their associated documentation. - Mozilla’s interaction with external auditor BDO & subsequent Change Control Process, allowing for more complete tracking of changes to KPI documentation and related artifacts. - Represented the DS Org during the testing and selection of a Data Observability Tool, ensuring that our most important metrics are closely monitored & data issues are discovered quickly.• On behalf of the entire Data Science & Engineering Org was a key member of a cross-functional team supporting a new, highly visible, and broad-reaching Firefox browser feature: Profile Management - Wrote multiple Decision Briefs for both peers and top-level executives mapping out quantitative arguments for and against different implementations of the feature which directly influenced the technical decisions made by Mozilla leadership. - Wrote & presented on the potential impacts and downstream effects of the feature as well as various mitigation, testing, and analysis plans for during and after its initial rollout, much of which was converted directly into cross-functional team roadmaps and workstreams. - Advised multiple non-data teams (including Browser Engineering, PM, and UX/UI/Design), on various aspects of the feature’s development as a Data Science & Experimentation thought leader.

• Started & managed the Advanced Analytics Center of Excellence at Zoom, a first-of-its-kind team at the company that aimed to harness the power of data through advanced analytics for the benefit of all of Zoom.• Supported Customer Success and Marketing Teams from one-off ad hoc requests to larger predictive/ML projects (e.g., marketing KPI tracking with synthetic control groups, lead attribution, customer lifetime value).• Oversaw development and productionalization of Zoom’s first ML models to detect fraud-related activities (e.g., account takeovers, unauthorized reselling) in close collaboration with numerous stakeholder teams (e.g., Billing & Payments, Trust & Safety, Privacy & Legal).

Leadership• Led & grew successful and satisfied teams consisting of Data Scientists, Analysts, and Engineers from 3 ICs in the U.S. to 15 ICs and Managers in the U.S. and Poland.• Served as a critical leader in cross-functional teams for the planning and executing of high priority data science and engineering roadmap items.Technical• Fundamentally rehabilitated research panels consisting of tens of millions of users by monitoring data quality, defining sampling methodology, imputing & projecting to Census-level data, and expanding into multiple countries.• Extended and improved product offerings via development of first-in-the-industry control group methodologies and building of models to classify user behavior and identify cohorts, including the patented “Content Consensus Management” methodology (Silverman, 2020. U.S. Patent 10,771,828).• Created internal tooling and self-serve visualizations that democratized data and improved efficiency, significantly decreasing analysis turnaround time and leading to an effective ~2.2x increase in the number of paid reports delivered to clients over the last 2 years.Communication• Revitalized marketing data & analyses for internal Marketers, Sellers, and Executives, as well as external PR Firms and Journalists, leading to a substantial amount of client-facing sales materials, social media & blog posts, and citations & quotes in top-tier publications (e.g., Associated Press, Variety, Forbes, Bloomberg, Deadline, Reddit).• As one of only a few authorized public speakers at Samba TV, gave 19 live and virtual lectures, conference presentations, webinars, and podcasts as a subject matter expert and thought leader to audiences ranging from high-value clients to advertising and TV executives to fellow data scientists to the general public.• Participated in 24 career panels & career-related presentations, in addition to dozens of one-on-one mentoring sessions with aspiring data scientists.

Just a few of the recent projects I've worked on at Samba:• How many people watched ? - Analyze TV viewership and investigate viewership trends for a variety of shows and events on TV (many of which are published here: https://platform.samba.tv/resources/blog/).• Which US households contain someone who watches more than 6 hours of ABC a day? - Train models to predict viewership behavior based on demographic information.• The Big Bang Theory is one of the highest rated shows on TV, but what does that actually mean quantitatively? - Use our giant, proprietary TV viewership dataset to precisely define what 'rating' means, in addition to creating and defining other viewership metrics (e.g., of the people watching TV at a given point in time how many are watching a specific show, how many people who started watching a commercial also finished it, what's the ratio of people watching a show live to people watching the show via DVR or online during the following week, etc.).• These two UFC commercials look pretty similar to each other, but how similar? - Develop an algorithm that will predict how distinct two pieces of TV content are.

• Created the WhereSIOUS (Where Should I Open Up Shop?) app for the City of San Diego, which allows users to discover how successful their new business will be in a given location.• Utilized information from nearly 57,000 businesses to predict the future success of 23 types of businesses in 313 neighborhoods in San Diego.• Shared modeling and analysis results with the Chief Data Officer of San Diego via Jupyter Notebooks on GitHub, produced an interactive web interface using Python, Flask, Bootstrap, CSS, and the Google Maps API, and discussed the project in a blog post for both Insight and the City of San Diego.

• Awarded National Science Foundation Astronomy and Astrophysics Postdoctoral Fellowship (for more info see below under Accomplishments - Honors & Awards).• Spearheaded nearly a dozen astrophysics research projects involving teams varying from a single undergraduate to 100+ person international collaborations.• Since 2007, authored 162 refereed astronomy publications, including 14 as first author.• Invited to present at 7 astronomy and education conferences throughout the United States with audiences ranging from 20 to 200 people.• Co-founded Astronomy on Tap ATX (www.astronomyontap.org), a series of free, public astronomy lectures in a pub with monthly audiences of 300 to 400 people from extremely diverse backgrounds.• Coordinated 88 science outreach events and contributed to 22 interviews, press releases, and non-technical science articles for TV, radio, print, and online media.• Developed 8 inquiry-based astronomy activities for middle and high school students, and trained over 30 educators on how to present astronomy and physics topics in fun and engaging ways.

• Responsibilities in this position were effectively the same as those when I was a graduate student researcher at UC Berkeley (see below).

• Operated some of the biggest telescopes in the world to observe exploding stars known as supernova.• Organized tens of thousands of astronomical observations of exploding stars using relational databases and statistically analyzed the data (using IDL, R, and Python), specifically comparing outliers with the rest of the observed population.• Coordinated day-to-day activities of our approximately 20-person research group, including scheduling meetings and other group activities, keeping track of the gathering and storage of data products and analyses, and leading and consulting on funding proposals.• Directly supervised 1 high school and 6 undergraduate students and trained 28 professional astronomers from around the world in astronomical data gathering and analysis techniques.• Taught 7 courses as a Graduate Student Instructor ranging from introductory undergraduate courses of over 120 students, to graduate-level astrophysics courses.