Sotabase

Career

· Researcher in Machine Learning for Small-Molecule Design, D. E. Shaw Research2025–
· PhD Student in Computational Biology, UC Berkeley, Center for Targeted Machine Learning and Causal Inference2025–

Publications (22)

Learning protein fitness models from evolutionary and assay-labeled data
Nature Biotechnology · 2022
183
cited
XYZeq: Spatially resolved single-cell RNA sequencing reveals expression heterogeneity in the tumor microenvironment
Science Advances · 2021
97
cited
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
International Conference on Learning Representations · 2024
85
cited
Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions
Nature Communications · 2021
44
cited
Identification of GDC-1971 (RLY-1971), a SHP2 Inhibitor Designed for the Treatment of Solid Tumors.
Journal of Medicinal Chemistry · 2023
31
cited
Combining evolutionary and assay-labelled data for protein fitness prediction
bioRxiv · 2021
27
cited
A map of the rubisco biochemical landscape
Nature · 2025
24
cited
Beyond medical pluralism: characterising health-care delivery of biomedicine and traditional medicine in rural Guatemala
Global Public Health · 2018
20
cited
Eukaryotic RNA-guided endonucleases evolved from a unique clade of bacterial enzymes
Nucleic Acids Research · 2023
18
cited
RNA language models predict mutations that improve RNA function
bioRxiv · 2024
12
cited
Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction.
ACS Synthetic Biology · 2023
9
cited
Efficient Partition Function Estimation in Computational Protein Design: Probabalistic Guarantees and Characterization of a Novel Algorithm
2015
9
cited
ProteinGuide: On-the-fly property guidance for protein sequence generative models
2025
5
cited
Sparse Epistatic Regularization of Deep Neural Networks for Inferring Fitness Functions
bioRxiv · 2020
4
cited
Augmenting Neural Networks with Priors on Function Values
arXiv.org · 2022
3
cited
GENTANGLE: integrated computational design of gene entanglements
bioRxiv · 2023
2
cited
Evolutionary discovery and characterization of fungal transcriptional activators using active learning
bioRxiv · 2025
1
cited
Structure and evolution-guided design of minimal RNA-guided nucleases
bioRxiv · 2025
1
cited
Author Correction: A map of the rubisco biochemical landscape
Nature · 2025
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