Sotabase

Career

· Researcher, Prescient Design, Genentech2024–
· Senior Machine Learning Scientist, Prescient Design, Genentech2024–
· Intern, Freie Universität (FU) Berlin2022–2022
· PhD Student, Stanford University2018–2024
· Software Engineer, Google2016–2018
· Graduate Student, Massachusetts Institute of Technology2015–2016
· Undergraduate Student, Massachusetts Institute of Technology2010–2014
· Software Engineer, Google Research

Publications (43)

Learning from Protein Structure with Geometric Vector Perceptrons
International Conference on Learning Representations · 2020
595
cited
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
IEEE/ACM International Symposium on Code Generation and Optimization · 2018
291
cited
ATOM3D: Tasks On Molecules in Three Dimensions
NeurIPS Datasets and Benchmarks · 2020
154
cited
End-to-End Learning on 3D Protein Structure for Interface Prediction
Neural Information Processing Systems · 2018
114
cited
Geometric Deep Learning for Structure-Based Ligand Design
ACS Central Science · 2023
47
cited
Fragment-Based Ligand Generation Guided By Geometric Deep Learning On Protein-Ligand Structure
bioRxiv · 2022
28
cited
Parallel associative reductions in Halide
IEEE/ACM International Symposium on Code Generation and Optimization · 2017
24
cited
Protein model quality assessment using rotation-equivariant, hierarchical neural networks
arXiv.org · 2020
13
cited
Tiramisu: A Code Optimization Framework for High Performance Systems
2018
13
cited
Fourier-Motzkin with non-linear symbolic constant coefficients
2016
4
cited
Protein model quality assessment using rotation‐equivariant transformations on point clouds
Proteins: Structure, Function, and Bioinformatics · 2023
4
cited
FlexVDW: A machine learning approach to account for protein flexibility in ligand docking
arXiv.org · 2023
2
cited
ATOM3D: Ligand Binding Affinity (LBA) Dataset
2021
1
cited
Enhancing Ligand Pose Sampling for Molecular Docking
arXiv.org · 2023
1
cited
Tiramisu : A Polyhedral Compiler with A Scheduling Language for Targeting High Performance Systems Riyadh
2018
1
cited
ATOM3D: Ligand Efficacy Prediction (LEP) Dataset
2021
ATOM3D: Mutation Stability Prediction (MSP) Dataset
2021
ATOM3D: Protein-Protein Interactions (PPI) Dataset
2021
ATOM3D: Protein Structure Ranking (PSR) Dataset
2021
ATOM3D: Residue Identity (RES) Dataset
2021
Sotabase
Patricia Suriana | Researcher Profile | Sotabase | Sotabase