Graduate Student

Hannah Gulick

Hi! I am an 4th year PhD student and NSF Graduate Fellow in the astronomy department. I am the Deputy Project Scientist for the CuRIOS (CubeSats for Rapid Infrared and Optical Surveys) mission, and the lead for the Student Collaboration Project known as BTO (the Background and Transient Observer) that will fly on the NASA-funded small-explorer satellite called COSI (Compton Spectrometer and Imager) in 2027. My experience includes data analysis (both observation and simulation) of compact objects in the optical and gamma-ray regimes, the design and assembly of space-based instrumentation (...

Caleb Harada

Caleb Harada is a National Science Foundation Graduate Research Fellow and PhD Candidate in Astrophysics. Caleb's research focuses the detection and characterization of extrasolar worlds and their host systems. They are particularly interested in understanding the astrophysical context of extrasolar systems hosting potentially Earth-like exoplanets, especially in how planetary system architectures and different outcomes of planet-formation processes may influence exoplanet habitability. They are jointly a member of the NASA Habitable Worlds Observatory (HWO) working group on Target Stars...

Natalie LeBaron

I am a third year graduate student working with Raffaella Margutti. I graduated from UCSB in 2022 with a B.S. in Physics.

Kenneth Lin

I am a third-year Department of Energy SCGSR graduate student with interests in optical/IR instrumentation, galaxies, transients, and cosmology. I am also especially interested in using statistical techniques to analyze large survey data. I work primarily at LBNL on developing ultra-low noise, photon-counting optical/near-IR CCD detectors with Julien Guy for future spectroscopic surveys (e.g., DESI-II, Spec-S5) and on the La Silla Schmidt Southern Survey (LS4) with Peter Nugent. I graduated from the University of Massachusetts Amherst with a B.S. in Physics, B.S. in Astrophysics, and a...

Peter Ma

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...

Jacob Pilawa

Hello! I am a second year graduate student working with Chung-Pei Ma on dynamical studies of nearby galaxies. Before moving to Berkeley for graduate school, I got my bachelor’s degree from Colgate University in upstate New York. For more information on me, my research, or my hobbies, check out my website!