Scholar
Rachel Lawrence
Google Scholar ID: LA37YhcAAAAJ
Microsoft Research Cambridge, UC Berkeley
Citations & Impact
Citations
25
H-index
2
i10-index
1
Publications
8
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published her thesis titled 'Simplicial Reaction Networks and Dynamics on Graphs'; presented work on the Inverse Eigenvalue Problem on graphs at JMM ILAS special session; new paper 'Zero Forcing with Random Sets' available on arXiv; received EECS Outstanding TA award from Berkeley.
Research Experience
- R&D internships at Microsoft Research and Pixar Animation Studios; software engineering at Reservoir Labs (now Qualcomm).
Education
- PhD in Computer Science from UC Berkeley in 2023, advised by Alistair Sinclair; undergraduate degree in applied math from Yale.
Background
- Rachel is a computer science researcher working on problems at the intersection of algorithms, dynamical systems, graph theory, and combinatorics.
Miscellany
- In her free time, she dabbles in machine learning, educational outreach, digital art, puzzle hunts, hiking, and running long distances.
