Aditi Mavalankar
Research Scientist at DeepMind
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAditi Mavalankar is a Research Scientist at DeepMind with 11 years of experience focused on reinforcement learning, particularly on how agents extract useful information from interactions to accelerate adaptation, generalization, and exploration. She holds a PhD in Computer Science (AI) from UC San Diego and progressed through multiple DeepMind internships before joining the research team full time, reflecting a steady trajectory from academic research to industry-leading applied science. Her background blends rigorous academia with real-world system development—from internships at Amazon Lab126 to early mobile development—giving her a practical edge in implementing RL ideas at scale. Based in London, she brings a nuanced interest in information-efficient learning mechanisms that goes beyond standard reward optimization to improve agent learning dynamics.
10 years of coding experience
4 years of employment as a software developer
University of California San DiegoB. Tech. (Honours), Computer Science and Engineering, B. Tech. (Honours), Computer Science and Engineering at International Institute of Information Technology
English, Gujarati, HindiGithub contributions (5)
aditimavalankar/aditimavalankar.github.io
Dec 2017 - Feb 2024
Contributions:45 pushes, 1 branch in 6 years 3 months
aditimavalankar/gc-batch-rl-locomotion
Feb 2020 - Apr 2020
Contributions:6 commits, 5 pushes, 1 branch in 1 month
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