Our Faculty

Robert Grossman, PhD

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.

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 Dec; 9(4).
PMID: 38050021

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 Nov 22.
PMID: 38050021

Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research.
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J Am Med Inform Assoc. 2023 06 20; 30(7):1293-1300.
PMID: 37192819

Deep learning generates synthetic cancer histology for explainability and education.
Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29; 7(1):49.
PMID: 37248379

Case Studies for Overcoming Challenges in Using Big Data in Cancer.
Case Studies for Overcoming Challenges in Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1183-1190.
PMID: 36625851

Challenges to Using Big Data in Cancer.
Challenges to Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1175-1182.
PMID: 36625843

Towards self-describing and FAIR bulk formats for biomedical data.
Towards self-describing and FAIR bulk formats for biomedical data. PLoS Comput Biol. 2023 03; 19(3):e1010944.
PMID: 36913405

Ten lessons for data sharing with a data commons.
Ten lessons for data sharing with a data commons. Sci Data. 2023 03 06; 10(1):120.
PMID: 36878917

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ACM Fellow
2016

AAAS Fellow
2013

Federal 100 Award Winner
2013

Pritzker Scholar
University of Chicago
2011