About Pete
I have diverse experience in generative AI, machine learning, and econometrics, all rooted in my academic background in computational social science. I'm deeply committed to leveraging data-driven insights to tackle complex questions.
Currently, I work as a Research Data Scientist at Google, where I develop agentic AI applications for Google Search to better understand user behavior at scale. Previously, at Two Six Technologies, I built generative AI tools for defense sector clients, frequently applying unsupervised machine learning methods to text data.
I completed my Ph.D. in political science at the University of Chicago, with a focus on machine learning and statistics. My graduate studies also included an internship with Meta's Central Applied Science department (formerly Core Data Science).
In addition to my data science work, I am active as a music producer and audio engineer, having collaborated with artists such as Billie Eilish, Diplo, and Sofi Tukker. I received my B.A. from the Carter School for Peace and Conflict Resolution at George Mason University, where I also captained George Mason’s Division I NCAA men’s volleyball team.
Skills
Programming
R
Python
SQL
Apache Airflow (Dataswarm at Meta)
Methods
Natural Language Processing
Computer Vision
Generative AI
Embedding Models
Machine Learning Classification/Regression
Multivariate Statistics
Causal Inference