HuBMAP External Advisor
Senior Director
Eli Lilly and Company
PROGRAM LEADER, NIH
Principal Research Scientist
Immunology Therapeutics, LILLY RESEARCH LABS
Senior Director, Product Management, Data Sciences Platform at Broad Institute of MIT and Harvard
AI and Cloud CTO, Google
The HuBMAP data used in this hackathon includes 11 fresh frozen and 9 Formalin Fixed Paraffin Embedded (FFPE) PAS kidney images.
Teams were invited to develop segmentation algorithms that identify glomeruli in the PAS stained microscopy data. They are welcome to use other external data and/or pretrained machine learning models in support of Functional Tissue Unit segmentation. All data and all code used must be released under Attribution 4.0 International (CC BY 4.0).
Distinguished Professor of Engineering and Information Science
Indiana University, USA
HuBMAP External Advisor
Senior Director
Eli Lilly and Company
Senior Medical Director
Precision Value Health
Enterprise Cloud Architect, Healthcare & Life Sciences
Google
CEO
STLogics
CEO
Conference Ventures
Founder and CSO of Paige. or AI, Director at Memorial Sloan Kettering Cancer Center, Professor at Weill Cornell
Research Group Leader,
EMBL-EBI
Chief, Vascular Biology and Hypertension, National Heart Lung and Blood Institute/National Institutes of Health, Bethesda, MD
Integrative Genomics Group
Department of Bioengineering
University of California
at San Diego
Division of Biology and Bioengineering, California Institute of Technology
Vice Precedent, Genetics and Genomics at Deerfield
CEO and co-founder of
Tamr Inc.
Head of Applied Machine Learning at Cellarity
Translational Informatics Team
Eli Lilly
CNS Associate Director Luddy School of Informatics, Computing, and Engineering, Indiana University
CNS Research Assistant
Luddy School of Informatics, Computing, and Engineering, Indiana University
CNS Research Analyst
Luddy School of Informatics, Computing, and Engineering, Indiana University
PhD Candidate
Luddy School of Informatics, Computing, and Engineering, Indiana University
Research Instructor
Vanderbilt School of Medicine
Google Cloud Platform Solution Specialist for HPC, ML and IoT at Google
PhD Candidate
Luddy School of Informatics, Computing, and Engineering, Indiana University
Research Instructor
Vanderbilt School of Medicine
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Boyd Steere is a Principal Research Scientist at Lilly, where he works as a bioinformaticist in the Immunology therapeutic area, heads the biology effort of a drug discovery team, and leads Lilly Immunology’s single cell multi-omics program. Dr. Steere graduated from UCLA in 2000 with a PhD in X-ray protein crystallography. He then joined the pharmaceutical software company Simulations Plus, where he developed neural network models to predict small molecule properties. After coming to Lilly in 2005, Dr. Steere was a scientific lead in the Discovery IT organization before transitioning in 2015 to the company’s drug research program in autoimmune diseases
Prior to joining the Broad, Clare led product and engineering at TAMR, a Cambridge-based software company that uses machine learning to integrate large datasets. She received her PhD from Boston University for research in particle physics conducted at the Large Hadron Collider
Scott is the Director of Applied AI at Google. In this role, he leads a team of AI engineers and PhDs who help VIPs reimagine the production of goods and services and how value is exchanged in free markets. His team applies current and upcoming AI technologies to materialize proofs of concept and drive long-term transformations.
Scott has a rich background in financial services and enterprise computing. He was recently Scott is the Director of Applied AI at Google. In this role, he leads a team of AI engineers and PhDs who help VIPs reimagine the production of goods and services and how value is exchanged in free markets. His team applies current and upcoming AI technologies to materialize proofs of concept and drive long-term transformations.