Sotabase

Career

· Computational Science Lead, Centivax2021–
· Undergraduate Summer Research Fellow, Bio-X2017–
· Research Intern, Novartis2015–
· Collaborator, Distributed Bio
· Graduate Student, Gilman School
· Machine Learning Team Lead, Herophilus (fka System1 Biosciences)
· Bachelor of Science (Computer Science, focus: biocomputation), Stanford University
· Master's Student (Computer Science, focus: AI), Stanford University
· Research Assistant (Ron Dror's Group), Stanford University
· Teaching Assistant, Stanford University
· Co-Founder and CEO, Y-Trap

Publications (23)

Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer immunotherapy
Nature Communications · 2018
273
cited
End-to-End Learning on 3D Protein Structure for Interface Prediction
Neural Information Processing Systems · 2018
114
cited
Inhibition of TGF-β Enhances the In Vivo Antitumor Efficacy of EGF Receptor–Targeted Therapy
Molecular Cancer Therapeutics · 2012
71
cited
Deep Reinforcement Learning for Simulated Autonomous Vehicle Control
2016
64
cited
Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision
International Conference on Human Factors in Computing Systems · 2016
22
cited
Snake venom protection by a cocktail of varespladib and broadly neutralizing human antibodies
Cell · 2025
16
cited
Challenges and Progress in Designing Broad-Spectrum Vaccines Against Rapidly Mutating Viruses.
Annual Review of Biomedical Data Science · 2023
14
cited
Optimization and scaling of patient-derived brain organoids uncovers deep phenotypes of disease
bioRxiv · 2020
8
cited
Demuxalot: scaled up genetic demultiplexing for single-cell sequencing
bioRxiv · 2021
5
cited
Generalizable Protein Interface Prediction with End-to-End Learning
arXiv.org · 2018
5
cited
Venom protection by antibody from a snakebite hyperimmune subject
2022
5
cited
Venom protection by broadly neutralizing antibody from a snakebite subject
bioRxiv · 2023
3
cited
Hierarchical confounder discovery in the experiment-machine learning cycle
bioRxiv · 2021
2
cited
Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study
Disability and Rehabilitation · 2019
2
cited
Predicting Kidney Cancer Survival from Genomic Data
2014
RepPy : Replicated Python
2017
Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning
2016
Testing the Limits of Biologically-Plausible Backpropagation
Transferrable End-to-End Learning for Protein Interface Prediction
2018
Sotabase