Projects and Visualizations

• Beta distributions, Dirichlet distributions, and Dirichlet processes

  - An interactive blog post describing these distributions and some of their properties and uses.

• PyEI

  - A Python library for ecological inference and estimating racially polarized voting, created in collaboration with Tufts MGGG.

• Visualizing Sonnets

  - A visualization of Shakespeare and other poets' sonnets based on sound (in collaboration with Satyan Devadoss and Dima Smirnov).

• Map of US marathons

  - A visualization of US marathons by month, inception year, and temperature, created with D3.js and geopy with data from Wikipedia and World Weather Online.

• Training Log

  - A viewer I made for my running training as a small practice project with HTML, CSS, and JavaScript, and as a way to learn my way around OAUTH and Strava's API.

• Constitutional Amendments

  - Because sometimes you just want a clickable dotplot showing when the amendments to the U.S. constitution were ratified and what they say.

• Spiking Neuron Simulation

  - A dashboard for simulating voltage traces for neurons modeled with Leaky Integrate-and-Fire or Hodkin-Huxley equations, with adjustable parameters. I made this as an exploratory tool for my computational neuroscience students, and as another way for me to practice with HTML, CSS, and JavaScript.

Selected Talks and Courses

• Data Science for Global Applications

  - A course in data science and Python for international relations applications. Includes intro materials for pandas, matplotlib, geopandas, sklearn.

• Version control for researchers with Git and GitHub

  (workshop) - See especially, "Workshop instructions."

• Introduction to Bayesian Modeling

  (in collaboration with Michael Wojnowicz)

• Dirichlet processes and neurodegenerative diseases (podcast episode)

  - On the "Learning Bayesian Statistics" podcast, hosted by Alexandre Andorra. (Episode 4)

• Ecological Inference (slides)

  - Voting Rights and Bayesian Hierarchical Models (slides from talk for Boston Bayesians meetup).

• Bayesian Statistics course

  - Overview and course outline from my Bayesian Statistics course for high schoolers, assuming single-variable calculus knowledge and no previous statistics class.