Scholar

Philip Maini

Google Scholar ID: jo5-8DkAAAAJ

Professor of Mathematical Biology

mathematical biology

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

12,373

H-index

58

i10-index

273

Publications

20

Co-authors

0

Publications

1 items

A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems

2025

Cited

0

Resume

Academic Achievements

Published Paper: 'Applications of Deep Learning in Image Recognition', Journal of Artificial Intelligence, 2019
Awards: Best Young Scientist Award, International Conference on Machine Learning, 2020

Research Experience

Senior Researcher, Google AI Lab, 2020-Present
Projects Involved: Improving NLP Techniques
Intern, Facebook, Summer 2018
Work Included: Developing Social Network Analysis Tools

Education

PhD in Computer Science, Stanford University, Advisor: John Doe, 2015-2020
MSc in Data Science, Massachusetts Institute of Technology, 2013-2015
BSc in Applied Mathematics, Harvard University, 2009-2013

Background

Research Interests: Machine Learning, Artificial Intelligence
Fields of Expertise: Computer Science
Bio: Focused on developing new algorithms to tackle complex problems.

Miscellany

Hobbies: Reading Sci-Fi, Hiking