Welcome to Seth's Personal Website
I graduated with honors from Harvard University with a Bachelor of Arts in Statistics and a minor in Government. Raised in Grand Rapids, Michigan, I gained experience as a political organizer, campaign manager, and legislative aide, leveraging data to support criminal justice reform legislation in the Michigan House of Representatives and to win important local elections during the competitive 2016, 2018, and 2020 election cycles. In July 2021, I moved to Washington DC and joined Booz Allen Hamilton, bringing my passion, technical know-how, and strong communication skills to new challenges in the federal and commercial spaces. Now, I work as a quantum physicist and lead scientist, building Booz Allen's quantum and AI businesses.
Modeling | Visualization | Analysis
In Spring 2021, my team earned first place in Citadel's Boston Regional Datathon, receiving a $20,000 prize and entry into the international Data Open Championship. COVID-19 was the theme of the Boston Regional Datathon, and our submission explored the relationship between public trust in government and excess mortality from COVID-19.
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In my first article published with Towards Data Science, I crafted a visual explanation of how Gibbs sampling works. Gibbs sampling is one of the most popular Markov Chain Monte Carlo (MCMC) algorithms with applications in Bayesian statistics, computational linguistics, political science, and more.
Full Article →
This QGIS web map was a project commissioned by 6 County Commission candidates in Kent County, MI. It shows precinct-by-precinct election results for all partisan races in the 2018 November general election. This app helped candidates identify precincts that were susceptible to down-ballot roll-off.
Project Website →My full portfolio of data science and data visualization projects
Creating ANNs, Random Forests, and XGBoost techniques to predict pathological complete response (pCR) from gene expression.
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Use permutation feature importance to discover which features in your dataset are useful for prediction. Published in Towards Data Science.
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R Shiny app on 2020 Ivy League Men's Basketball statistics with interactive visualizations for easy comparison.
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Visualizing the culture surrounding mental health in the tech industry with D3.js.
Project Website →Using content-based filtering and k-Means clustering to generate Spotify playlists from a "cold start."
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R Shiny app exploring population genetics through a series of interactive simulations.
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Analyzing Trends in the NCAA 3 Point Shooting from 2003 to 2019 using Hierarchical linear modeling.
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Funding disparities and accountability issues in the Harvard Undergraduate Council Finance Committee grant process.
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Using Elo and FargoRate systems to simulate & predict the 2021 World Pool Masters tournament. Medium article with an R Shiny companion app.
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A Medium article with everything you need to know about RTex files, how to make them, and how RTex compares with R Markdown.
Project Website →Background & Expertise
Hired as a member of the Strategic Innovation Group (SIG) to develop algorithms, write scripts, use automation, and find answers to help clients make important decisions.
Lobbied state lawmakers in favor of restorative justice legislation including reforms to expungement of public criminal records, drug sentencing guidelines, and cash bail. Solved problems during the COVID-19 crisis by connecting constituents to services like the Michigan eviction diversion and food assistance programs.
Instructed undergraduate and graduate students in a variety of quantitative topics from linear algebra and real analysis to Markov Chains and statistical inference. Recipient of the Derek Bok Center Certificate of Distinction and Excellence in Teaching in Fall 2018 and Spring 2019.
Courses: Linear Algebra and Real Analysis I, Mathematics for Computation and Data Science, Intro to Probability, Intro to Statistical Inference
Coordinated campaign operations for State House and County Commission campaigns in Western Michigan. Raised over $40,000 in 3 months. Kept 2 State House seats and flipped 2 County Commission seats.
Liaised with candidates to impact policy and help progressives win elections in West Michigan. Communicated with media to publicize events and wrote press releases and notifications.
Overhauled the representative's contact database and fundraising infrastructure using R and NGPVAN. Raised over $26,000 in 3 months. Supervised a research team to further the Representative's legislative goals.
Managed all campaign staff and volunteers while organizing daily canvassing events. Served as the candidate's primary advisor on strategy and tactics using data analytics to target voters. Raised over $33,000 in 3 months and filed appropriate campaign finance reports. Won election by 1,057 votes over a three-term incumbent.
Responsible for managing and running phone banks. Main point of contact for volunteers. Organized events with notable guests including Chelsea Clinton.
What I've Learned
A.B. in Statistics (Data Science) with a secondary in Government with Honors. 2018 & 2020 John Harvard Scholar, Detur Book Prize recipient.
Study Abroad coursework in evolutionary biology and population genetics at Queen's College. Created an R Shiny app to teach introductory population genetics with interactive simulations.
Valedictorian, National Merit Finalist, Congressional Medal of Merit Recipient, 2-time State Champion and National Quarterfinalist Public Speaker
I'm passionate about building multi-generational Korean-American adoptee communities (inclusive of adoptees, adoptive parents, non-adopted Koreans, and allies) to provide emotional and professional support, advocacy, and educational services for the Korean adoptee experience. I volunteer with ASIA Families and I'd love to chat about it!
I'm a fan of all of the Michigan sports teams, but forced by proximity to support DC sports, too. Catch me at a baseball, basketball, or football game - or even a motorsports race!