Mark Keller, PhD

Biography

Research Fellow in Biomedical Informatics

Mark is a postdoctoral research fellow in the HIDIVE Lab. He completed his PhD in the Bioinformatics and Integrative Genomics Program at Harvard Medical School. He received a B.S. in Computer Science from the University of Maryland, College Park. Previously, he was an intern in the Summer Institute in Biomedical Informatics at Harvard Medical School.

News

• Welcome to Claudia Meyer, Justine Shih, Mark Keller, and Thomas Chan!
• Viv Image Visualization Library Preprint Released
• First Data Release of HuBMAP
• Viv Paper Published in Nature Methods
• IEEE VIS 2024

Publications

• International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries
• Evolving phenotypes of non-hospitalized patients that indicate long COVID
• International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: the 4CE Consortium
• International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality
• The chromatin landscape of healthy and injured cell types in the human kidney
• National Trends in Disease Activity for COVID-19 Among Children in the US
• Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)
• Vitessce: a framework for integrative visualization of multi-modal and spatially-resolved single-cell data
• Use-Coordination: Model, Grammar, and Library for Implementation of Coordinated Multiple Views
• The State of Single-Cell Atlas Data Visualization in the Biological Literature
• Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data
• What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
• Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19
• Cistrome Explorer: An Interactive Visual Analysis Tool for Large-Scale Epigenomic Data
• Viv: Multiscale Visualization of High-Resolution Multiplexed Bioimaging Data on the Web
• A Mixed Reality and 2D Display Hybrid Approach for Visual Analysis of 3D Tissue Maps
• OME-Zarr: a cloud-optimized bioimaging file format with international community support
• Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium
• SurvMaximin: Robust federated approach to transporting survival risk prediction models
• Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis
• Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study