Teaching Assistant for Deep Learning Systems, Fall 2021 & 2022; Student Coordinator for CMU AI Seminar, 2022; Coordinator for SIGBOVIK, 2022 & 2021.
Research Experience
Research Scientist at Google Research, 2025 – present; Research Intern at Google Research, Summer 2024; Research Intern (Physics of AGI) at Microsoft Research, Summer 2023; Machine Learning Research Intern at Bosch Center for AI, Summer 2022; Research Assistant (Caltech SURF) at NASA Jet Propulsion Laboratory, Summer 2018; Research Assistant (REUSE) at Carnegie Mellon University Institute for Software Research, Summer 2017.
Education
Ph.D. in Computer Science, 2019-2025, Carnegie Mellon University, advised by Zico Kolter; B.S. in Computer Science & Mathematics, 2016-2019, University of Evansville.
Background
Research interests include deep learning, language models, robustness, architecture design, initialization, and security. Previously worked on natural experiments on open-source software at CMU and detected surface features in orbital imagery of Mars at JPL.
Miscellany
Email: trockman -at- google.com; Links to Google Scholar, GitHub, and CV available.