Sotabase

Career

· Engineering Lead for Google Accelerated Science, Google2005–
· Software Engineer, Google2005–
· Master's Degree in Computer Science, McGill University

Publications (0)

Molecular graph convolutions: moving beyond fingerprints
Journal of Computer-Aided Molecular Design · 2016
1,546
cited
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Cell · 2018
562
cited
A probabilistic language based upon sampling functions
ACM-SIGACT Symposium on Principles of Programming Languages · 2005
249
cited
High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis
Nature Methods · 2019
216
cited
Assessing microscope image focus quality with deep learning
BMC Bioinformatics · 2018
138
cited
Improving Phenotypic Measurements in High-Content Imaging Screens
bioRxiv · 2017
112
cited
Machine learning guided aptamer refinement and discovery
Nature Communications · 2021
111
cited
Points-to analysis using BDDs
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 2003
87
cited
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
Nature Communications · 2020
57
cited
Learning causal networks using inducible transcription factors and transcriptome‐wide time series
Molecular Systems Biology · 2020
57
cited
Context threading: a flexible and efficient dispatch technique for virtual machine interpreters
International Symposium on Code Generation and Optimization · 2005
47
cited
Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock
bioRxiv · 2022
40
cited
Discovery of complex oxides via automated experiments and data science
Proceedings of the National Academy of Sciences of the United States of America · 2021
29
cited
Applying Deep Neural Network Analysis to High-Content Image-Based Assays
SLAS discovery : advancing life sciences R & D · 2019
27
cited
Dynamic profiling and trace cache generation
International Symposium on Code Generation and Optimization, 2003. CGO 2003. · 2003
19
cited
ProtSeq: Toward high-throughput, single-molecule protein sequencing via amino acid conversion into DNA barcodes
iScience · 2021
16
cited
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
arXiv.org · 2019
8
cited
Mixed mode execution with context threading
Conference of the Centre for Advanced Studies on Collaborative Research · 2005
6
cited
Machine Learning Optimization of Photosynthetic Microbe Cultivation and Recombinant Protein Production
bioRxiv · 2021
5
cited
Dynamic profiling and trace cache generation for a java virtual machine
2002
4
cited
Sotabase