Adrish Dey

Bayesian hacker and a Wannabe Topologist 🍩. Treasure Hunting in Non-Euclidean Spaces 🗺️.

I’m an incoming CS PhD student at Boston University advised by Prof. Edward Chien. I recieved my Bachelor’s Degree in Computer Science and Engineering from Netaji Subhash Engineering College. Currently, I am based out of Kolkata. I’m also an independent researcher, interested in exploring complicated problems in geometric and topological data processing.

When I’m not working, you can find me flying ✈️ in Microsoft Flight Simulator.

Research Interests

Although my research interests spans a wide variety of topics, you can find me tweeting mostly about:

  • Geometric and Topological Deep Learning
  • Geometric Statistics
  • Geometry Processing
  • Topological Data Analysis
  • Optimal Transport
  • Generative Models
  • Implicit Deep Learning

You can find CV Here. If there’s something I can help you about, or if you want to discuss abount some cool research problems, feel free to drop me a 📨 @ More social / academic URLs can be found below 👇


Apr 14, 2022 Excited to share I’m starting my PhD with Prof. Edward Chien at Boston University starting Fall 2022.
Oct 21, 2021 Excited to share, starting Novemeber, I am joining Weights and Biases as Machine Learning Engineer – Remote via Remote Inc. ✨
Mar 16, 2021 Excited to share I just accepted an offer for Summer Research Fellowship with Geometric Data Processing lab, at MIT CSAIL. 💫 🥳 🎉
Nov 1, 2020 Our work “TopoSampler: A Topology Constrained Noise Sampling for GANs” got accepted for spotlight presentation at Workshop on Topological Data Analysis and Beyond. Yay! :sparkles: :tada:
Dec 15, 2019 I’ll be joining as a Research Intern working on GANs for the next 8 weeks!
May 9, 2019 I got into Google Summer of Code where I’ll be working with the TensorFlow Hub Team building pretrained modules. 🥳 UPDATE: The ESRGAN pretrained module can be found at: And the codebase can be found at:


  1. NeurIPS TDA ’20
    TopoSampler: A Topology Constrained Noise Sampling for GANs
    Adrish Dey, Sayantan Das