I am a PhD student in the Cornell Brooks School of Public Policy. 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. I also worked as a research analyst and product manager at Multi Health Systems Inc., as a Data Science for Social Good Fellow at the University of Washington’s eScience Institute in 2020, and a machine learning engineer at Graphika from May to November of 2021.
I am interested in a lot of things. Here is what I’ve thought about most lately:
Figuring out how to use non-representative data
Machine learning for demographic measurement
The need for stakeholder engagement in data science work
- Wrapping up papers for submission
- Working on `Who moves during recessions?’ for presentation at APPAM in March
- Starting new projects/collaborations! Fun!
06/2021 - 12/2021: Summer and fall third year
- Worked as a Machine Learning Engineer at Graphika, building NLP classification models and models 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