Yash Mehta's Website

Rajpurkar Lab, Harvard Medical School.

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Located in Boston, USA

Hi! I am currently a researcher at DBMI, Harvard Medical School, working with Pranav Rajpurkar. I’m excited about multimodal foundation models, focused on applications in healthcare. Throughout my academic journey, I have gained valuable experience in various domains, including transformers, LLMs, neuroscience, and cognition. I am very fortunate to have gotten the opportunity to work with brilliant researchers, who have really inspired me and shaped my attitude towards research.

Previously, I was a research engineer at the amazing HHMI Janelia Research Campus, working on inferring synaptic plasticity rules using deep learning with James Fitzgerald and Jan Funke. I have worked on Neural Architecture Search in Frank Hutter’s AutoML lab in the picturesque town of Freiburg! Before that, I had an amazing time at the Gatsby Computational Neuroscience Unit at UCL, where I was working on evaluating biologically plausible perturbation-based learning algorithms to train deep networks with Tim Lillicrap at DeepMind and Peter Latham. I did my undergraduate thesis at NTU Singapore with Erik Cambria on using large language models for personality prediction. I quit my job as a software developer at Amazon to dive into the world of research ;)

I thoroughly enjoy coding and working on hard algorithmic problems.

News

Oct 23, 2023 Shifted to Boston, joined the Rajpurkar lab to work on AI+health
Jul 20, 2023 Attended ICML 2023 in Hawaii! ✨🍻
Dec 1, 2022 Attended NeurIPS 2022 in New Orleans! ✨🎷
Oct 1, 2022 Visiting student researcher in Larry Abbott’s lab at the Zuckerman Institute, Columbia University
Sep 14, 2022 Manuscript on node perturbation learning accepted to NeurIPS!
May 27, 2022 Got Married! :ring: :sparkles: :sunny:
Apr 25, 2022 Presented our paper, NAS-BenchSuite in ICLR’22.
Jan 10, 2022 Started at HHMI Janelia Research Campus in the Funke Lab

Selected Publications

  1. Towards Biologically Plausible Convolutional Networks
    Roman Pogodin, Yash MehtaTimothy Lillicrap, and Peter Latham
    In Advances in Neural Information Processing Systems (NeurIPS) 2021
  2. NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
    Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, and 5 more authors
    In International Conference on Learning Representations (ICLR) 2022
  3. Stability and Scalability of Node Perturbation Learning
    Naoki Hiratani, Yash MehtaTimothy Lillicrap, and Peter Latham
    In Advances in Neural Information Processing Systems (NeurIPS) 2022