Adrish Dey

I’m a CS PhD student at Boston University studying the application of Geometry and Topology in ML and Graphics. I am advised by Prof. Ed Chien.
Outside of work, I enjoy biking, exploring the city, experimenting cooking new dishes, and flying airplanes in Flight Simulators (A moonshot goal in my life is to get a flying license someday). Recently, I have also been exploring bouldering.
Research Interests
I am broadly interested in studying problems on the intersection of Geometry and Machine Learning. These days, I am primarily studying optimal transport problems arising in a wide variety of areas (graphics, fluid dynamics, astrophysics, to name a few).
You can find CV Here. Please don’t hesitiate to reach out if you want to collaborate or want to discuss interesting problems! 🙂 Email: adrishd@bu.edu.
news
Jun 25, 2024 | Presented My Work on “Neural Lagrangian Mesh: A generative model for Manifold Meshes of Arbitrary Genus” at Symposium of Geometry Processing (SGP) 2024 |
---|---|
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 a Machine Learning Engineer ✨ |
Mar 16, 2021 | Excited to share I just accepted an offer for Summer Research Fellowship with Geometric Data Processing lab, at MIT CSAIL. 💫 🥳 🎉 |
Nov 01, 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! ![]() ![]() |
selected publications
- NeurIPS TDA ’20Topo Sampler: A Topology Constrained Noise Sampling for GANsIn TDA & Beyond, 2020