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
Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC.
Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC. Nat Med. 2026 Sep; 32(9):3235-3247.
PMID: 42733093
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology. Cancer Res. 2026 09 02; 86(17):4414-4433.
PMID: 42308255
Applications of Deep Learning in Endocrine Neoplasms.
Applications of Deep Learning in Endocrine Neoplasms. Clin Lab Med. 2026 Sep; 46(3):629-641.
PMID: 42526978
Comprehensive multi-omic dissection and AI-prioritized target identification in inverted papilloma-associated sinonasal squamous cell carcinoma.
Comprehensive multi-omic dissection and AI-prioritized target identification in inverted papilloma-associated sinonasal squamous cell carcinoma. NPJ Precis Oncol. 2026 Jul 10.
PMID: 42432132
Living evidence-informed guideline on the early detection of oral squamous cell carcinoma and potentially malignant disorders: Light-based adjuncts to determine the need for biopsy, Version 2026 1.0.
Living evidence-informed guideline on the early detection of oral squamous cell carcinoma and potentially malignant disorders: Light-based adjuncts to determine the need for biopsy, Version 2026 1.0. J Am Dent Assoc. 2026 Sep; 157(9):968-979.
PMID: 42227938
Accessible Clinical Tool for Prognosis and Chemotherapy Prediction in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer in Diverse and Low-Resource Settings.
Accessible Clinical Tool for Prognosis and Chemotherapy Prediction in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer in Diverse and Low-Resource Settings. JCO Glob Oncol. 2026 May; 12(5):e2500705.
PMID: 42214047
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer Recurrence.
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer Recurrence. medRxiv. 2026 May 12.
PMID: 42180367
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images.
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images. NPJ Breast Cancer. 2026 May 11; 12(1).
PMID: 42115215
Artificial intelligence model predicts malignant transformation of oral leukoplakia and optimizes interventions.
Artificial intelligence model predicts malignant transformation of oral leukoplakia and optimizes interventions. Oral Oncol. 2026 Jul; 178:107982.
PMID: 42107221
Histology-Derived Signatures Predict Recurrence Risk and Chemotherapy Benefit in Randomized Trials of Early Breast Cancer.
Histology-Derived Signatures Predict Recurrence Risk and Chemotherapy Benefit in Randomized Trials of Early Breast Cancer. medRxiv. 2026 May 05.
PMID: 42078387
Mark Roth Award
University of Michigan
2015
Chief Fellow in Hematology/Oncology
University of Michigan
2014 - 2015