Summary
Nikhil Parthasarathy is a Senior Research Scientist at Google DeepMind with a decade of experience advancing multimodal deep learning and large-scale active data curation. His work bridges signal processing, neuroscience, and computer vision, informed by a PhD from NYU’s Simoncelli Lab and prior MS/BS degrees from Stanford. He has demonstrated that self-supervised video pretraining can yield image representations competitive with ImageNet—work developed during a DeepMind internship—and now applies those insights to making multimodal models more efficient and performant. Comfortable moving between theory and systems, he has a track record of publishing and engineering across academia and industry, from retinal decoding and spike-sorting to large-scale representation learning. Based in the UK, he brings a uniquely interdisciplinary perspective shaped by computational neuroscience and practical ML at scale.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Neural Science, Doctor of Philosophy - PhD, Neural Science at New York University
The Harker School
Graduate of the Certificate Program in the Preparatory Division, Classical Guitar, Graduate of the Certificate Program in the Preparatory Division, Classical Guitar at San Francisco Conservatory of Music
Master of Science (M.S.), ICME (Computational and Mathematical Engineering), Master of Science (M.S.), ICME (Computational and Mathematical Engineering) at Stanford University
Spanish