Scholar
Hannah Lawrence
Google Scholar ID: tYE9bLoAAAAJ
PhD Student, Massachusetts Institute of Technology
Citations & Impact
Citations
462
H-index
10
i10-index
10
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published 'Detecting Symmetry Breaking in Molecular Data Distributions' at ICLR AI4Mat Workshop, 2025; involved in multiple research projects such as guided generation of small molecules and tokenization of molecules for LLMs.
Research Experience
- Summer intern at Prescient Design; research intern at DE Shaw Research and Meta FAIR's Open Catalyst Team; research analyst at the Center for Computational Mathematics of the Flatiron Institute; summer intern at Microsoft Research, mentored by Cameron Musco; also spent productive summers at Reservoir Labs and the Center for Computational Biology.
Education
- Undergraduate at Yale in applied math and computer science, advised by Amin Karbasi and Dan Spielman; currently a PhD student at MIT, advised by Ankur Moitra.
Background
- Interested in developing theoretically principled tools for deep learning, often in scientific domains, with a focus on both understanding and imposing structure for neural representations. Currently a PhD student in machine learning at MIT.
Miscellany
- Co-founder of the Boston Symmetry Group, which hosts a recurring workshop for researchers interested in symmetries in machine learning.
Co-authors