CV
Education, publications, research experience, and teaching.
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Education
2025–
Ph.D., Industrial Engineering and Operations Research, University of California, Berkeley
M.S., Industrial Engineering and Operations Research, awarded 2026 (conferred en route to the Ph.D., upon completion of the first year)
2025
S.M., Data Science, Harvard University, School of Engineering and Applied Sciences
Thesis: Bayesian NLP model examining the impact of inventors' degree of specialization on innovation outcomes
Coursework: Causal Inference, Economics, Algorithms & Data Structures
2018
M.B.A., Yale School of Management (Silver Scholar)
2015
B.S., Applied and Computational Mathematics (Honors), California Institute of Technology
2015
B.S., Business, Economics, and Management (Honors), California Institute of Technology
Research interests
Economics of innovation; text analysis (topic modeling, large language models); Bayesian statistics and variational inference; causal inference (regression discontinuity, differences-in-differences); law & economics; financial economics.
Publications
Chattergoon, B., and W. R. Kerr. 2022. “Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention.” Research Policy 51(2): 104418. doi.org/10.1016/j.respol.2021.104418
Also circulated as NBER Working Paper No. 29456.
Working papers
“Inventor Specialization and Innovation Outcomes: A Bayesian NLP Approach” (based on M.S. thesis, Harvard University)
Research experience
2019–2021
Economics Research Associate, Harvard Business School
Advisor: Prof. William (Bill) Kerr. Built a BERT language model leveraging patent descriptions to classify software patents (precision 85%, recall 88%); used in Chattergoon and Kerr (2022), Research Policy. Contributed to research on the geography and economics of innovation.
2018–2019
Economics Research Statistician, Yale School of Management
Advisor: Prof. Fiona Scott Morton. Studied the economic impact of within-industry stock ownership by similar investors, using stock price, 13-F ownership, and CAPM data.
2023
Summer Research Associate, MIT Sloan School of Management
Advisor: Prof. John Horton (administered through Upwork, half-time). Studied following relationships and community structure on Twitter.
Teaching experience
2016–2018
Teaching Assistant, Yale School of Management
Healthcare Economics; Business Ethics
Other scholarly activity
Math Boot Camp Notes: teaching notes covering the mathematical foundations (real analysis, linear algebra, probability) for first-year Optimization and Stochastic Processes sequences in Operations Research Ph.D. programs. github.com/bradchattergoon/math-boot-camp-notes
Other professional experience
2024
Quantitative Research Intern, Quantbot Technologies
Developed systematic statistical arbitrage strategies for equities using machine learning in Python.
2021–2022
Data Analyst/Engineer, Quantitative Strategies (Associate), Pretium Partners LLC
Built ETL pipelines automating data flows across business units using DBT, AWS, Snowflake, and Airflow; developed dashboards and reporting on risk, operations, and KPIs using SQL, Python, and Looker.
Honors and awards
2018
Silver Scholar, Yale School of Management M.B.A.
2018
Anonymous Peer Nomination (classmate who contributed most to cohort learning), Yale SOM
2009
1st Place, Trinidad and Tobago Mathematics Olympiad; invited to IMO team
Academic service
2024–2025
Co-Chair, SEAS Graduate Advisory Council, Harvard University
Technical skills
Python, R, SQL, Jupyter, Pandas, Tidyverse; data visualization with ggplot, Plotly, Seaborn, Looker.