Sotabase

Career

· Research Assistant, Stanford Artificial Intelligence Laboratory (SAIL)2023–
· Intern, Atomic AI
· Intern, Google
· Intern, Microsoft Research
· Researcher, Rhiju Das's Lab
· Bachelor's Student, University of California, Berkeley
· Graduate Student, University of California, Berkeley

Publications (0)

MultiVI: deep generative model for the integration of multimodal data
Nature Methods · 2023
172
cited
Geometric Deep Learning for Structure-Based Ligand Design
ACS Central Science · 2023
47
cited
EternaBrain: Automated RNA design through move sets and strategies from an Internet-scale RNA videogame
PLoS Comput. Biol. · 2019
28
cited
Redesigning the Eterna100 for the Vienna 2 folding engine
bioRxiv · 2021
17
cited
MedSAGE: Bridging Generative AI and Medicinal Chemistry for Structure-Based Design of Small Molecule Drugs
bioRxiv · 2025
2
cited
A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
2025
1
cited
EternaBrain: Automated RNA design through move sets from an Internet-scale RNA videogame
bioRxiv · 2018
1
cited
On the robustness of mixture model-based unsupervised learning in single-cell analyses
IEEE International Conference on Bioinformatics and Biomedicine · 2017
PolyVI: Deep Generative Models for Gene Expression, Chromatin Accessibility, and Surface Protein Expression Data
2022
RNA design movesets and strategies from an Internet-scale videogame
2019
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