University of Chicago '27 - MS in Computational Analysis and Public Policy

• Selected coursework: Computer Science with Applications, Advanced Statistics for Data Analysis, Analytical Politics, GIS

Lawrence University '22 - BA in Biology and Music
summa cum laude, Phi Beta Kappa, Wriston Scholar

• Selected coursework: Advanced Statistical Modeling, Data-Scientific Programming, Biostatistics, Experimental Design

With a background in ecology, data science, and research administration, I am broadly interested in sustainability and justice. I have worked in both urban and rural landscapes; I now call Chicago home and am focused on applying my skills to issues of urban sustainability and equity. Topic areas of interest include public transportation, housing justice, education, and urban ecology. I enjoy projects involving data analysis, data collection via web scraping or experimental design, sound statistical modeling, research skills, and communicating findings in clear and creative ways.

I am an accomplished classical violinist (I've played with Yo-Yo Ma and at Lollapalooza), solo backpacker (favorite trips include the 200-km Sunshine Coast Trail and 150 miles of the Arizona Trail), and avid reader.

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This course project analyzed Chicago rideshare and CTA data to identify why residents choose services like Uber or Lyft over public transportation. By integrating City of Chicago trip records with Google Maps API data, the study evaluated the trade-offs between travel time, cost, and neighborhood accessibility. The final analysis, presented via an interactive dashboard, highlights specific gaps in the transit network where service improvements could effectively reduce car dependency and improve urban equity.

For more details, check out my resume

• Dr. Brian Wilson, UChicago Mansueto Institute: Digitization and data processing of archival Chicago maps
• Dr. Matt Germino, U.S. Geological Survey: Studied plant and soil responses to wildfire, exotic plant invasions, drought, and other stressors in order to guide land management efforts. Conducted surveys in remote locations, collected and processed samples, wrangled and analyzed data.
• Dr. Robert Schaeffer, Utah State University: Studied the effects of pollinator- and robber-vectored nectar microbes on flower phenotype; field and wet lab work, chemical analyses, statistically analyzed volatile organic compound composition in R.
• Dr. Israel Del Toro, Lawrence Univeristy: Developed an AI in R to analyze honeybee hive productivity from images.
• Dr. Stefan Debbert, Lawrence University: Worked to design, synthesize, and characterize novel anti-parasitic drugs. Used NMR and TLC.

• Research Program Administrator, UChicago Data Science Institute
• Biology Tutor, Lawrence University
• Admissions Ambassador, Lawrence University
• Retail Associate, Yellowstone Park Service Stations
• Industrial Hygienist, PBS Engineering and Environmental