Suhani Vora

Suhani is a Research Scientist with a background in Biological Engineering, and is currently applying machine learning methods to the design of biomolecular sequences. She is also interested in applying deep learning to enhance 3D Computer Vision methods.
Authored Publications
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Kubric: A scalable dataset generator
Anissa Yuenming Mak
Austin Stone
Carl Doersch
Cengiz Oztireli
Charles Herrmann
Daniel Rebain
Derek Nowrouzezahrai
Dmitry Lagun
Fangcheng Zhong
Florian Golemo
Francois Belletti
Henning Meyer
Hsueh-Ti (Derek) Liu
Issam Laradji
Klaus Greff
Kwang Moo Yi
Lucas Beyer
Matan Sela
Noha Radwan
Thomas Kipf
Tianhao Wu
Vincent Sitzmann
Yilun Du
Yishu Miao
(2022)
Biological Sequences Design using Batched Bayesian Optimization
Zelda Mariet
Ramya Deshpande
David Dohan
Olivier Chapelle
NeurIPS workshop on Bayesian Deep Learning (2019)
A Comparison of Generative Models for Sequence Design
David Dohan
Ramya Deshpande
Olivier Chapelle
Babak Alipanahi
Machine Learning in Computational Biology Workshop (2019)