Robert L. Grossman is the Frederick H. Rawson Distinguished Service Professor in Medicine and Computer Science and the Jim and Karen Frank Director of the Center for Translational Data Science at the University of Chicago. He has also served as the chief research informatics officer of the Biological Sciences Division since 2011. He is the Co-Chief in the Section of Computational Biomedicine and Biomedical Data Science in the Department of Medicine.
Recommended Clinical Context and Patient Context Data Elements for Liquid Biopsy Data Submitted to Data Repositories and Data Commons.
Recommended Clinical Context and Patient Context Data Elements for Liquid Biopsy Data Submitted to Data Repositories and Data Commons. Clin Transl Sci. 2025 Apr; 18(4):e70227.
PMID: 40261285
Towards Preanalytical Best Practices for Liquid Biopsy Studies: A BLOODPAC Landscape Analysis.
Towards Preanalytical Best Practices for Liquid Biopsy Studies: A BLOODPAC Landscape Analysis. Clin Pharmacol Ther. 2025 Jan; 117(1):28-33.
PMID: 39164947
NCI Cancer Research Data Commons: Resources to Share Key Cancer Data.
NCI Cancer Research Data Commons: Resources to Share Key Cancer Data. Cancer Res. 2024 May 02; 84(9):1388-1395.
PMID: 38488507
NCI Cancer Research Data Commons: Core Standards and Services.
NCI Cancer Research Data Commons: Core Standards and Services. Cancer Res. 2024 May 02; 84(9):1384-1387.
PMID: 38488505
The Pandemic Response Commons.
The Pandemic Response Commons. JAMIA Open. 2024 Jul; 7(2):ooae025.
PMID: 38617994
A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments.
A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments. Sci Data. 2024 Feb 26; 11(1):241.
PMID: 38409183
An open-source platform for pediatric cancer data exploration: a report from Data for the Common Good.
An open-source platform for pediatric cancer data exploration: a report from Data for the Common Good. JAMIA Open. 2024 Apr; 7(1):ooae004.
PMID: 38304249
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots.
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. Stud Health Technol Inform. 2024 Jan 25; 310:735-739.
PMID: 38269906
Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons.
Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons. Cold Spring Harb Mol Case Stud. 2023 12; 9(4).
PMID: 38050021
ATAT: Automated Tissue Alignment and Traversal in Spatial Transcriptomics with Self-Supervised Learning.
ATAT: Automated Tissue Alignment and Traversal in Spatial Transcriptomics with Self-Supervised Learning. bioRxiv. 2023 Dec 10.
PMID: 38106010
ACM Fellow
2016
AAAS Fellow
2013
Federal 100 Award Winner
2013
Pritzker Scholar
University of Chicago
2011