About me

I am a PhD candidate in the Cornell Brooks School of Public Policy, where I do research in economics and demography using computational methods. I have also interned as a Machine Learning Engineer at Graphika Technologies, and as a Research Scientist at Spotify. I am currently seeking roles in the private sector. I hold an MSc in Inequalities and Social Science from the London School of Economics and a BA in Psychology from the University of Winnipeg.


Fall 2023

  • Continuing on my dissertation work
  • Began actively seeking private sector roles to start in 2024. Open to discussing any and all opportunities!

Spring and Summer 2023

Fall 2022

  • I interned on Spotify’s Content Platform Research team. I worked on fitting graph neural networks (GNNs) to music industry knowledge graphs (with PyTorch) to create embeddings and do link prediction. I met many wonderful, intelligent people, and had a great time learning about the inner workings of a really cool industry.
  • I passed my PhD A-exam and moved to PhD candidacy!
  • My co-authored paper with Arthur Acolin and Matt Hall, Small-area estimates from consumer trace data was published in the journal Demographic Research.
  • I presented my paper with Vlad Barash, Chief Scientist at Graphika Technologies, on Using Knowledge Graphs to Detect Partisanship in Online Political Discourse

Summer 2022

  • I worked on mortality prediction and survival modelling at MPIDR in Rostock (link to program).
  • Paper on knowledge graph representations of online political discourse accepted to the The 11th International Conference on Complex Networks and their Applications! (link to conference)
  • Received a revise-and-resubmit for a co-authored applied demography paper!

Winter and Spring 2022

  • Released two preprints about proxying race/ethnicity in political science (here and here)

06/2021 - 12/2021: Summer and fall third year

  • Worked as a Machine Learning Engineer at Graphika, building NLP classification models and methods for cross-platform clustering of social media data.
  • RA for Dr. Matthew Hall on statistical models for the use of consumer data to measure population levels and migration flows.
  • Wrote my second year paper, using machine learning to improve race-ethnicity imputation.

01/2021 - 05/2021: Spring of second year

  • Awarded SSHRC Doctoral Fellowship, which will fund the next three years of my PhD! Thanks, Canada!
  • Presented a poster entitled “Small Area Population Estimates from Consumer Data” (joint with Arthur Acolin and Matthew Hall) at the PAA 2021 annual conference
  • Also presented the above at the APPAM 2021 Student Seminar Series
  • Submitted the first paper of my PhD, collaborative work with my DSSG colleagues on measuring racially polarized voting and the racial composition of the voting population.
  • TA’d Big Data for Policy Analysis

09/2020 - 12/2020: Fall of second year

  • Assembled my committee: Professors Doug Miller (Chair), Michael Macy, and Matthew Hall
  • TA’d Introduction to Statistics for PAM Majors
  • Presented ongoing research with my DSSG colleagues at PRIEC

06/2020 - 08/2020: Data Science for Social Good

  • Developed an R package to quantify vote dilution in US elections
  • Met many inspiring people
  • Learned a lot. Some highlights:
    • The “human-centered design” approach to data science
    • How to collaborate on a coding project with a team spread across North America
    • The intricacies of voting rights litigation and empirical research on voting
    • Applied Bayesian statistics and spatial analysis in R

09/2019 - 05/2020: First year at Cornell

  • Took courses in economics, statistics, computer science, sociology, and demography
  • Started contributing to some ongoing research projects
  • Became an affiliate of the Cornell Population Center (CPC)
  • Moved back to Canada when the pandemic forced classes online in March

06/2019 - 08/2019: Free summer

  • Visited friends in Berlin, road-tripped through Italy
  • Got engaged!
  • Traveled with my fiancee through South America:
    • Fancy hotel in Cartegena
    • Snorkeling on the Galapagos Islands
    • Five day hike to Machu Picchu
    • Drove through the Bolivian Salt Flats

09/2017 - 05/2019: Multi Health Systems

  • Did data science and product development research on a small “intrepreneurial” team called the Innovation Hub
  • Moved to product management:
    • Developed a business plan for a workplace mental health assessment product
    • Led a small team to help clients connect to the product’s API

09/2016 - 08/2017: London School of Economics

  • Took courses in sociology, political science, demography, and causal inference
  • Met some amazing people from all over Europe and the rest of the world
  • Took weekend trips to Croatia, Scotland, Barcelona
  • First exposure to R, and to programming (addicted ever since)
  • Presented at the European Association of Social Psychology Conference in Granada, Spain

09/2012 - 09/2016: University of Winnipeg

  • Studied political psychology in an undergraduate research lab
  • Wrote a book chapter and a text analysis paper