Marc A. Coram
Marc got a BS in Math and CS (E&AS) from Caltech, then a PhD in Statistics from Stanford. He was an Assistant Professor of Statistics at the University of Chicago (2002-2006) and an Assistant Professor of Biostatistics at Stanford (2006-2014) before joining Google as a software engineer on the Google Accelerated Science team.
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ProtSeq: towards high-throughput, single-molecule protein sequencing via amino acid conversion into DNA barcodes
Jessica Hong
Michael Connor Gibbons
Ali Bashir
Diana Wu
Shirley Shao
Zachary Cutts
Mariya Chavarha
Ye Chen
Lauren Schiff
Mikelle Foster
Victoria Church
Llyke Ching
Sara Ahadi
Anna Hieu-Thao Le
Alexander Tran
Michelle Therese Dimon
Phillip Jess
iScience, 25 (2022), pp. 32
Discovery of complex oxides via automated experiments and data science
Joel A Haber
Zan Armstrong
Kevin Kan
Lan Zhou
Matthias H Richter
Christopher Roat
Nicholas Wagner
Patrick Francis Riley
John M Gregoire
Proceedings of the Natural Academy of Sciences (2021)
Quantum Optimization with a Novel Gibbs Objective Function and Ansatz Architecture Search
Li Li
Minjie Fan
Patrick Riley
Stefan Leichenauer
Phys. Rev. Research, 2 (2020), pp. 023074
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India
Renu P. Rajan
Derek Wu
Peter Wubbels
Tyler Rhodes
Kira Whitehouse
Ramasamy Kim
Rajiv Raman
Lily Peng
JAMA Ophthalmology (2019)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Lily Peng
Martin C Stumpe
Derek Wu
Arunachalam Narayanaswamy
Subhashini Venugopalan
Tom Madams
Jorge Cuadros
Ramasamy Kim
Rajiv Raman
Jessica Mega
JAMA (2016)
