Program Years:
2022–2026
University:
University of California, Berkeley
Field of Study:
Applied Mathematics
Advisor:
Lin Lin
Degree(s):
B.S. Mathematics with Computer Science, Massachusetts Institute of Technology, 2017
Practicum Experience(s)
Lawrence Berkeley National Laboratory (2025)
Practicum Supervisor(s):
Bert
de Jong
Practicum Title:
Faster and More Accurate Training of Machine-Learned Interatomic Potentials
Current Status
Research Area:
Applied Mathematics
Personal URL:
ggoldshlager.com
Annual Program Review Abstracts
Fellow Poster
:
Leveraging Randomized Linear Algebra to Accelerate the Training of Neural Network Wavefunctions
(2024
)
Fellow Poster
:
Accelerating the Optimization of Neural Network Wavefunctions in First Quantization
(2023
)