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 data scientist at Two Six Technologies, where I develop generative AI and machine learning applications for clients in the defense sector. My role involves applying unsupervised machine learning methods to text data, with an emphasis on producing insights at scale using generative AI models.

Prior to joining Two Six, 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). As part of the Data For Good team, I designed and engineered a natural disaster risk model using Facebook data.

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.