Ishita Dasgupta is a research scientist at Google DeepMind with nine years of experience bridging cognitive science and machine learning to build human-like AI. With a PhD in Physics from Harvard and a postdoctoral stint at Princeton, she develops models of human reasoning, applies cognitive approaches to interpret black-box systems, and leverages ML advances to design more interpretable, human-aligned models. Her work spans academia and industry—including research roles at DeepMind and Stanford—and includes publications on causal reasoning from RNN meta-learning and limits of compositionality in language models. Based in San Francisco, she combines rigorous quantitative training in physics with hands-on ML research, uniquely positioning her to translate cognitive theory into scalable AI experiments.
9 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Bombay
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Harvard University
Contributions:45 pushes, 1 branch in 3 years 7 months
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Ishita Dasgupta - Research Scientist at Google DeepMind