Dheeraj M Nagaraj is a Research Scientist at Google DeepMind, focusing on theoretical machine learning, applied probability, and statistics. His work involves sampling, generative modeling, and optimization. He holds a Ph. D. from the Massachusetts Institute of Technology, where he was part of the Lab for Information and Decision Systems (LIDS), and a dual degree from IIT Madras.
There is no publicly available information regarding Dheerajs personal life, hobbies, or interests outside of his professional work.
His research has explored diverse topics, including the representation power of deep neural networks, random graphs with latent geometric structures, and stochastic optimization algorithms.
Dheeraj M Nagaraj
Research Scientist at Google DeepMind
Bengaluru, Karnataka, India
Overview
Topics They Care About
Theoretical Machine Learning
This is his primary field of work at Google DeepMind and was the focus of his Ph. D. research at MIT.
Generative Modeling
His current work focuses on generative modeling and diffusion models, aiming to generate new data like images and molecules.
Stochastic Optimization
A recurring theme in his research, he has worked on stochastic gradient descent and other optimization algorithms for machine learning.
Media Appearances
Dheeraj has no verified media appearances
Work History
5-2024
Research Scientist at Google DeepMind
12-2021 - 5-2024
Research Scientist at Google AI
6-2020 - 8-2020
Summer Research Intern at Microsoft
6-2018 - 8-2018
Summer Research Intern at Microsoft
5-2016 - 7-2016
Data Science Intern at MeTripping
Education
2016 - 2021
Doctor of Philosophy (Ph.D.) from Massachusetts Institute of Technology
2011 - 2016
Dual Degree (B.Tech and M.Tech) from Indian Institute of Technology, Madras
More Information
Social Presence :
Prographics :
Exp : 4
Location : Bengaluru, Karnataka, India
Job Level : N/A
Designation : Research Scientist at Google DeepMind
