Alexander T Pearson, MD PhD

  • Associate Professor of Medicine
    Committee on Cancer Biology
    Committee on Clinical Pharmacology and Pharmacogenomics
    Committee on Genetics, Genomics and Systems Biology
  • Clinical Interests: Clinical Trials, Immunotherapy, Medical education, Salivary gland cancers, Squamous Cell Carcinoma Tumors
  • Research and Scholarly Interests: Education, Graduate Medical, Head and Neck Cancer, Mathematical Model, Models, Biologic, Neural Network Models, Salivary Gland Cancers, Statistical Models, Therapies, Combined Modality, Tumor Cell Lines, Tumor Immune Escape
  • Websites: Research Network Profile
  • Contact: apearson5@uchicago.edu
  • Graduate Programs: Cancer Biology, Genetics, Genomics & Systems Biology, UChicago Biosciences

The Pearson Lab integrates clinical expertise, mathematical modeling, high dimensional statistics, and basic tumor biology methods to investigate and propose new treatments for head and neck cancer.

University of Michigan
Ann Arbor, MI
Fellowship - Hematology/Oncology
2016

University of Michigan
Ann Arbor, MI
Postdoctoral Fellowship - Nor Lab (2013-2017)
2016

University of Michigan
Ann Arbor, MI
Residency - Internal Medicine
2012

University of Rochester
Rochester, NY
MD - Medicine
2010

University of Rochester
Rochester, NY
PhD - Statistics
2009

Cornell University
Ithaca, NY
BS - Biometry and Statistics
2002

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning.
End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning. medRxiv. 2025 Jan 25.
PMID: 39974018

PRMT5 inhibition has a potent anti-tumor activity against adenoid cystic carcinoma of salivary glands.
PRMT5 inhibition has a potent anti-tumor activity against adenoid cystic carcinoma of salivary glands. J Exp Clin Cancer Res. 2025 Jan 11; 44(1):11.
PMID: 39794830

Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology.
Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology. bioRxiv. 2025 Jan 08.
PMID: 39554184

Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Sci Adv. 2024 Nov 15; 10(46):eadq0856.
PMID: 39546597

Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology.
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology. NPJ Precis Oncol. 2024 Nov 08; 8(1):255.
PMID: 39511421

Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology.
Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology. bioRxiv. 2024 Nov 03.
PMID: 39554184

Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning.
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
PMID: 39197222

Agent-Based Modeling of Virtual Tumors Reveals the Critical Influence of Microenvironmental Complexity on Immunotherapy Efficacy.
Agent-Based Modeling of Virtual Tumors Reveals the Critical Influence of Microenvironmental Complexity on Immunotherapy Efficacy. Cancers (Basel). 2024 Aug 23; 16(17).
PMID: 39272799

Applications of artificial intelligence to myeloproliferative neoplasms: a narrative review.
Applications of artificial intelligence to myeloproliferative neoplasms: a narrative review. Expert Rev Hematol. 2024 Oct; 17(10):669-677.
PMID: 39114884

Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia.
Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia. Tissue Eng Part A. 2024 Oct; 30(19-20):640-651.
PMID: 39041628

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Mark Roth Award
University of Michigan
2015

Chief Fellow in Hematology/Oncology
University of Michigan
2014 - 2015