Summary
Trevor Dorn-wallenstein is an astrophysicist-turned-data scientist with a decade of experience applying rigorous statistical and machine learning methods to problems ranging from astronomical time series to financial and litigation analytics. Currently a Data Scientist/Statistician providing expert witness and valuation analysis, he previously served as a Carnegie Fellow and postdoctoral scholar, bringing research-grade modeling, uncertainty quantification, and signal extraction skills to real-world datasets. He excels at adapting well-understood ML techniques to novel domains, turning noisy, complex observations into auditable insights. Based in Pasadena, Trevor blends deep academic training (PhD, University of Washington) with practical forensic analytics, making him particularly adept at translating technical results for legal and business audiences.
10 years of coding experience
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Washington
Bachelor of Arts - BA, Astronomy, Physics, Bachelor of Arts - BA, Astronomy, Physics at Wesleyan University