Noah Zimmerman

Noah H. Zimmerman is a biomedical data scientist and health-technology executive. At Tempus AI, he is vice president and general manager of Next Oncology. He oversees the strategy and development of software that identifies gaps in clinical-care pathways and supports guideline-directed treatment. He was previously the company's vice president of translational science.

Education

Zimmerman earned a bachelor's degree from the University of Maryland and a PhD in biomedical informatics from Stanford University. He completed his doctoral dissertation, A Computational Approach to Identification and Comparison of Cell Subsets in Flow Cytometry Data, in 2011. During his doctoral studies, Zimmerman and fellow researcher Nicholas Tatonetti hosted The Nick and Noah Show on Stanford's KZSU radio from 2010 to 2012.

Career

In 2013, Zimmerman co-founded Kyron, a Silicon Valley medical-data startup, with Louis Monier. The company analyzed electronic medical records to identify relationships among medical conditions and raised $3 million from Khosla Ventures.

Zimmerman was an assistant professor of genetics and genomic sciences at the Icahn School of Medicine at Mount Sinai, where he also directed the Health Data and Design Innovation Center. In 2018, he and biomedical informatician Joel Dudley led Mount Sinai's new Center for Biomedical Blockchain Research. The center studied possible uses of blockchain technology in healthcare and biomedical research. The same year, Zimmerman, Tatonetti, and illustrator Cybil Sanzetenea co-authored the board book Toshi Builds Consensus: A blockchain primer for kids (and grown-ups).

Zimmerman later became vice president of translational science at Tempus AI. In November 2024, he spoke at a public hearing of the FDA's Digital Health Advisory Committee about evaluating and monitoring generative-AI-enabled medical devices after they reach the market. He later became vice president and general manager of Next Oncology. According to Tempus, the division uses structured and unstructured clinical data to find departures from recommended oncology-care pathways.

Research

Zimmerman's early research focused on the computational analysis of flow cytometry data. He co-authored a 2009 paper on a nonparametric method for automatically identifying cell populations. He later co-authored research that used the earth mover's distance to compare biomarker expression among cell populations.

At Mount Sinai, Zimmerman worked on the design of individualized studies, also known as N-of-1 studies, as well as methods for analyzing biomedical data while preserving privacy. At Tempus, he has co-authored studies on using machine learning to identify patients at risk of undiagnosed structural heart disease and on using probabilistic methods to construct disease phenotypes from electronic health records.

In 2026, he co-authored an ASCO abstract reporting a prospective study of an AI-enabled clinical decision-support tool deployed across six U.S. community health systems and 662 patients with early-stage non-small-cell lung cancer; the study reported absolute increases in biomarker testing of 18% for EGFR, 24% for ALK, and 13% for PD-L1 within 90 days of diagnosis.

Zimmerman was also involved in Tempus's development of machine-learning models intended to identify patients at increased risk of atrial fibrillation from electrocardiogram data. In June 2024, the FDA granted 510(k) clearance to Tempus ECG-AF, an atrial-fibrillation risk-prediction device.

Selected publications

• Walther, Guenther; Zimmerman, Noah; Moore, Wayne; Parks, David; Meehan, Stephen; Belitskaya, Irina; Pan, Jianxin; Herzenberg, Leonore A. (2009). "Automatic Clustering of Flow Cytometry Data with Density-Based Merging". Advances in Bioinformatics. 2009: 1–7. doi:10.1155/2009/686759. PMC 2801806. PMID 20069107.
• Percha, Bethany; Baskerville, Edward B.; Johnson, Matthew; Dudley, Joel T.; Zimmerman, Noah (April 1, 2019). "Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations". Journal of Medical Internet Research. 21 (4). doi:10.2196/12641. PMC 6462889. PMID 30932871.
• Ulloa-Cerna, Alvaro E.; Jing, Linyuan; Pfeifer, John M.; et al. (July 5, 2022). "rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography". Circulation. 146 (1): 36–47. doi:10.1161/CIRCULATIONAHA.121.057869. PMC 9241668 . PMID 35533093 .
• Orlova, Nataliya; Baranova, Anna; Zhernakova, Daria; Friedman, Eli; Zimmerman, Noah (March 24, 2016). "Earth Mover's Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations". PLOS ONE. 11 (3). Bibcode:2016PLoSO..1151859O. doi:10.1371/journal.pone.0151859. PMC 4805242. PMID 27008164.
• Jones, David P.; Li, Leslie; Afshar, Morteza; Friedman, Eli; Zimmerman, Noah (May 21, 2019). "Privacy-Preserving Methods for Feature Engineering Using Blockchain: Review, Evaluation, and Proof of Concept". Journal of Medical Internet Research. 21 (5). doi:10.2196/13600. PMC 6712958 . PMID 31414666.
• Vidmar, Gorazd; Zimmerman, Noah; Blaz, Marko (2025). "A probabilistic approach for building disease phenotypes across electronic health records". BioData Mining. 18 (1). doi:10.1186/s13040-025-00454-9. PMC 12153169 . PMID 40500747 .

Selected patents

• Methods, software, and systems for knowledge base coordination, U.S. Patent 7,734,557 (granted June 8, 2010), with Stephen W. Meehan and Leonore Herzenberg, assigned to Leland Stanford Junior University.
• Quantitative comparison of sample populations using earth mover's distance, U.S. Patent 10,452,746 (granted October 22, 2019), with Leonore A. Herzenberg, Guenther Walther, and Wayne A. Moore, assigned to Leland Stanford Junior University.
• Artificial intelligence based cardiac event predictor systems and methods, U.S. Patent 11,657,921 (granted May 23, 2023), assigned to Tempus AI and Geisinger Clinic.
• ECG-based cardiovascular disease detection systems and related methods, U.S. Patent 11,756,688 (granted September 12, 2023), assigned to Tempus AI and Geisinger Clinic.

External links

• Noah Zimmerman publications at ResearchGate

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