Patient, kind, and always approachable.
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Shannon Stock is a Professor and Statistics Minor Coordinator in the Mathematics and Computer Science Department at the College of the Holy Cross. She holds a B.S. in mathematics from the University of California, Los Angeles, where she graduated summa cum laude and Phi Beta Kappa, an M.S. in biostatistics from UCLA, and a Ph.D. in biostatistics from Harvard University in 2011. Before joining Holy Cross as an Assistant Professor in 2013, she worked as a biostatistician in the Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute. She received tenure in 2019 and advanced to full Professor. Her research centers on biostatistics and tree-structured methods, emphasizing the development and application of statistical techniques for analyzing large, complex clinical datasets. Early work focused on flexible methods for HIV viral genetic data, published in journals such as Statistics in Medicine, PLOS ONE, and the Journal of Clinical Microbiology.
Stock's publications address critical health issues, including the effects of glycemic index on prostate cancer progression (Prostate Cancer and Prostatic Diseases, 2024), epidemiology and treatment patterns in de novo metastatic prostate cancer (Cancer, 2024), delays to radical prostatectomy and postoperative outcomes (The Journal of Urology, 2022), COVID-19 impacts on genitourinary cancer diagnoses (JAMA Oncology, 2022), survival among never-smokers with lung cancer (Annals of the American Thoracic Society, 2015), and racial disparities in health-related quality of life after lung resection (Journal of Thoracic Oncology, 2015). She advises undergraduate theses, such as a machine learning approach to variable selection in schizophrenia genetic risk studies. As Statistics Minor Coordinator, she contributes to curriculum development, including proposals for statistics programs. Stock serves on college councils and committees, and has leadership experience in statistical organizations like the Boston Chapter of the American Statistical Association.

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