Data Scientist on the Map XP team.

- Decreased adverse spending of customer ABM/B2B ad campaigns from 2% to sub–1% by identifying within the reporting where issues were occurring in the pipeline. - Validated in-house NLP models that were productized into a keyword intent feature rolled out to ABM customers, enabling them to increase and more efficiently target their prospective audience sizes and proactively prevent churn.- Identified an additional $15–20MM of unspent D2C customer budgets by improving reporting of campaign performance at each stage of the funnel.- Built out ETL and visualizations in Tableau and Redash for product and engineering on the ads, contacts, and multi-channel attribution teams.

- Presented company’s KPI forecasts to senior leadership that were used in a successful Series B funding round in 2023.- Built a Tableau tool to visualize research for a new customer acquisition team, which helped drive a more than 50% decrease in CAC.- Reviewed all available market research to perform a granular breakdown of TAM by geographic and sports markets.

Visiting Scientist with the Theoretical High Energy Theory Group in the Department of Physics.

Research Professor in the Institute of Basic Science and Theoretical Particle Physics Group.

Postdoctoral fellow in the Theoretical Elementary Particle Physics group of CLASSE (Cornell Laboratory for Accelerator-Based Science and Education).

Postdoctoral researcher with the high-energy physics group in the Faculty of Physics. Topics of research include flavour physics, supersymmetry, and collider phenomenology.

Completed a Ph.D. in theoretical particle physics, with an emphasis on effective field theory, supersymmetry, and Higgs physics. Teaching assistant for introductory undergraduate, advanced undergraduate, and graduate physics courses.

Worked with the experimental nuclear physics group on the commissioning of TIGRESS, a gamma-ray detector at the ISAC radioactive beam facility.

Design and construction of low-noise electronics for experiments studying resistivity of exotic oxides at low temperatures.

Computational work using EOF analyses with MATLAB on NOAA meteorological datasets to extract large-scale climate patterns.