Sotabase

Career

· Graduate Student, Evodevo Group, Stanford University2006–
· Software Engineering Consultant, Optobionics Corporation2005–2006
· Senior Applications Engineer, Oracle Supplier Network, Oracle Corporation2004–2006
· Research Assistant, Systems and Analysis Group, MIT Lincoln Laboratory2002–2004
· 23andMe
· Senior Staff Software Engineer, Google
· Google-X
· M.Eng., Electrical Engineering and Computer Science, Massachusetts Institute of Technology
· PhD in Computer Science, Stanford University

Publications (45)

GREAT improves functional interpretation of cis-regulatory regions
Nature Biotechnology · 2010
4,267
cited
A universal SNP and small-indel variant caller using deep neural networks
Nature Biotechnology · 2018
1,284
cited
Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma
Science · 2014
1,179
cited
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Journal of machine learning research · 2020
772
cited
Human-specific loss of regulatory DNA and the evolution of human-specific traits
Nature · 2011
479
cited
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
bioRxiv · 2017
453
cited
Quantifying prion disease penetrance using large population control cohorts
Science Translational Medicine · 2016
400
cited
An open resource for accurately benchmarking small variant and reference calls
Nature Biotechnology · 2019
290
cited
Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study
Lancet Neurology · 2015
204
cited
Accurate, scalable cohort variant calls using DeepVariant and GLnexus
bioRxiv · 2020
197
cited
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
Nature Biotechnology · 2022
126
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
Creating a universal SNP and small indel variant caller with deep neural networks
bioRxiv · 2016
102
cited
Multimodal LLMs for health grounded in individual-specific data
ML4MHD · 2023
79
cited
Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
American Journal of Human Genetics · 2020
63
cited
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models
Nature Genetics · 2023
57
cited
A deep learning approach to pattern recognition for short DNA sequences
bioRxiv · 2018
56
cited
Dispensability of mammalian DNA.
Genome Research · 2008
47
cited
Reducing Pervasive False-Positive Identical-by-Descent Segments Detected by Large-Scale Pedigree Analysis
Molecular biology and evolution · 2013
47
cited
Sotabase
Cory McLean | Researcher Profile | Sotabase | Sotabase