Hey! I'm a grad student at Yale University advised by Rex Ying.
I’m interested in geometric deep learning and generative modelling for drug discovery.
I graduated from the National University of Singapore (NUS), majoring in Computer Science and Pure Mathematics.
I was co-advised by Bryan Hooi and Pietro Liò.
My thesis was on generative models for de novo 3D RNA backbone design.
I AM ON THE PHD MARKET FOR FALL 2026. PLEASE GET IN TOUCH!!!
I write about life and a ton of random seemingly-unconnected things (substack, old blog),
ML/AI4Bio (tech blog), and am also an active open-source contributor for ML tooling (github).
github /
twitter /
linkedin /
scholar /
full CV
mail.rishabh.anand@gmail.com
Publications
Stuff I find cool: symmetry-aware methods, biomolecule design, protein/molecular dynamics, literally anything structural-biology-related, mechanistic interpretability of LLMs.
(* equal contribution)
Platonic Transformers: A Solid Choice for Equivariance [TBA]
Mohammad Islam, Rishabh Anand*, David Wessels*, Friso de Kruiff, Thijs P. Kuipers, Rex Ying, Clara I. Sánchez, Sharvaree Vadgama, Georg Bökman, Erik J. Bekkers
Preprint. Under review.
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
Neil He*, Rishabh Anand*, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying
NeurIPS 2025
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
Rishabh Anand*, Chaitanya K. Joshi*, Alex Morehead, Arian Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Liò
TMLR 2025; MLCB 2024 (Oral); SPIGM Workshop, ICLR 2024 (Oral); AI4Science Workshop, ICLR 2024 (Spotlight); MoML 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Liò
ICLR 2025 (Spotlight)
Recent Advancements in Deep Learning for Routing Problems
Chaitanya Joshi* and Rishabh Anand*
Blog Track, ICLR 2022 (Top 50% of submissions)
Pretrained Encoders are All You Need
Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes
Unsupervised RL Workshop, ICML 2021