Peter Ma | Astronomy Skip to main content Toggle navigation Astronomy Search Terms Submit Search Home About Department History 150 Years of Women at Berkeley Astronomy: Early Stars Campbell Hall Diversity, Inclusion and Climate Jobs & Fellowships Contact Us People Faculty Graduate Students Lecturers Postdocs Researchers Staff Undergraduate Requirements of the Astrophysics Major Declaring the Major Undergraduate Courses Summer Courses and Concurrent Enrollment Undergraduate Advising and Resources Graduate Degree Requirements How to Apply Graduate Resources Teaching and Research Student Advising Visit 2026 Research Facilities Research Centers Student Research Opportunities Research Areas Research Snapshot Labs News & Events Department News Department Events Winter Newsletters Selected Talks Community Resources Reporting Discrimination and Harassment Libraries (campus) Campus Resources Outreach Family Friendly Policies Integrity Statement Secondary navigation Visit Giving TAC Astro Intranet Quick Links Quick Links Financial Aid Tuition Student Prizes & Awards Local Resources FAQ's Home Peter Ma Peter Ma Bio/CV: I am a first-year graduate student with a keen interest in applying Machine Learning to a range of (astro)physical challenges, including instrument design, theory/equation discovery, and observational (anomally) detection pipelines. My current work focuses on neural network-based adaptive optics for the Rubin Observatory and the development of neural compression techniques to optimize data transfer for future space-based telescopes. I completed my undergraduate degree in Applied Mathematics at the University of Toronto. During that time, I developed real-time deep learning algorithms for detecting Fast Radio Bursts, created graph neural networks to explore dark matter substructures in the Milky Way, and designed firmware for implementing neural networks on FPGAs for the Large Hadron Collider at CERN. I also worked on developing neural networks for high-frequency feedback control to enhance gravitational wave detection at LIGO. I am an advocate for multidisciplinary research and I am a strong believer that the frontiers of science are hiding at the intersection of many different fields. Role: Graduate Student Contact [email protected] Website Follow us: Facebook X (formerly Twitter) Instagram Powered by Open Berkeley Accessibility Statement Nondiscrimination Policy Statement Privacy Statement Copyright © 2026 UC Regents; all rights reserved Back to Top