Scholar
Atish Agarwala
Google Scholar ID: yCeAZUoAAAAJ
Google
Citations & Impact
Citations
619
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- 1. Developed robust methods for inferring fitness from abundance data; 2. Collaborated with Petrov and Sherlock labs to analyze fitness gains in glucose-limited yeast; 3. Created benchmarks for protein design while at Google.
Research Experience
- 1. Research Scientist at Google DeepMind, focusing on understanding optimization and generalization in machine learning models through the lens of dynamical systems; 2. As a PhD student at Stanford, worked on evolutionary models on random fitness landscapes and the intersection of ecology and evolution.
Education
- 1. PhD in Physics from Stanford University, advised by Daniel S. Fisher; 2. B.A. in Mathematics and Physics from Swarthmore College.
Background
- Currently a research scientist at Google DeepMind, previously a physics PhD student at Stanford University with interests in theoretical biology, evolutionary dynamics, machine learning, and optimization.
Miscellany
- Maintains an active interest in the intersection of machine learning and theoretical biology.