First data scientist, focusing on growth.

I teach courses in computer and data science, including:- The Product Development Process- An Introduction to the Rust Programming Language- Collecting and Vetting Public Internet Data

I advise Faraday on their Responsible AI practices.

- Owned product reporting for web app and backend (blockchain) data.- Prototyped next-gen analytics tooling solutions (Superset)- Monitored new product launch and opportunities

Fall 2 '22 Cohort at Recurse Center Programming Retreat. Worked on: web scraping; Rust; Zines

- Built analytics stack on top of transactional database- Deployed analytics system (Superset; Amundsen; JupyterLab; Athena)

I lead small teams in building tooling to measure data quality and data representativeness. I also work on making AI more fair as part of multiple XFN workstreams in AI and privacy.

I worked at the intersection of data science and product management to measure the effectiveness of advertising on the FB platforms. The data science part of my role involved using causal inference and formal experimentation techniques to measure the impact of ads on purchase decisions and brand affinity. The product management part of my role involved designing and building new products to advance the state of ad measurement. My work included rebuilding our telco attribution system, designing new ad interfaces for gaming, building out our first neuromarketing center, leveraging AI and computer vision to measure the effectiveness of ad creative, and improving how brand affinity is measured through surveys and polling. This position allowed me to work across the product development space, including leading XFN teams, performing large scale data analysis, and doing front and back-end programming for web and mobile.

I worked at the intersection of off-line and on-line survey work for the growth team. Our team helped launch Internet.org by designing and executing the core measurement of connectivity used to select countries to receive internet service and measure the program effectiveness of our involvement. Along with survey design and analysis, I also worked closely on the internal survey tooling, including setting best practices, measuring survey fatigue, and optimizing our internal survey delivery system to increase breadth and quality of survey responses.

I taught a section of product development at Cornell Tech. We used the studio method to guide a collection of graduate students in design, business, computer science, and engineering through a 12 week process of designing and implementing a feature complete MVP in response to a known business need with a corporate partner.

I taught Statistics for Social Sciences, with a secondary listing in Mathematics. The class focused on practical data analysis and understanding statistics in academic and daily life.

I participated in editorial decision making for the journal, including recommending editorial decisions for papers submitted to the journal.

I analyzed non-response rates and designed survey questions for the National Social Life, Health, and Aging Project. I also contributed to elements of survey design and pretesting.

I analyzed international data sets on parenting practices and child outcomes for the Center for Human Potential and Public Policy. Using STATA, I mined cross-sectional and longitudinal data sets to do hypothesis testing. Data sets included: the American Time Use Survey (ATUS); Panel Study of Income Dynamics (PSID); and the Longitudinal Study of Australian Children (LSAC). I worked on this project under center director Ariel Kalil, and Rebecca Ryan, both developmental psychologists who are also trained in policy. Our interdisciplinary collaborative work has been presented internationally and published in major journals.

At CTUR I provided research assistant support to a number of projects. This support included data analysis, writing papers, and making presentations on behalf of groups within the center. I also contributed to maintaining and adding data to the Multinational Time Use Survey (MTUS), the largest collection of synthesized time diary data in the world.

I was the sole American technical sales employee for Autograph A2D, a designer and distributor of digital sound consoles. In this role I troubleshot the computer and electronic systems that ran the sound processing equipment, including physical repairs, programming, and debugging. I also provided training and sales support.

At Granite Precision I worked on programing a proprietary scripting language to synchronize functions in live entertainment. While there I helped develop and test next generation show control systems. I also produced website design for Granite Precision and affiliated companies, designed and built blue screen staging area, and provided audio support for our main product and associated company activities.