Marc D. Ryser, Assistant Professor of Population Health Sciences and Mathematics and Member of Duke Cancer Institute

For an up-to-date description of my research program please visit

https://ryser.netlify.com

Areas of Expertise: Multi-scale modeling, early carcinogenesis, cancer evolution

Contact Info:

Office Location:	299B Physics Bldg, 120 Science Drive, Durham, NC 27708
Email Address:
Web Pages:	http://www.math.duke.edu/~ryser/ https://ryser.netlify.com

Teaching (Spring 2021):

• MATH 89S.01, FIRST-YEAR SEMINAR (TOP) Synopsis

  Online ON, MW 08:30 AM-09:45 AM

Education:

Ph.D.	McGill University (Canada)	2011
MS (Physics)	EPFL	2006
BS (Physics)	EPFL	2004

Research Interests:

Please visit my personal site for information about me and my research

Keywords:

Bone and Bones • Bone Neoplasms • Bone Resorption • Chemotaxis • Computational Biology • Computer Simulation • Fractures, Bone • Gene Expression Profiling • Homeostasis • Meta-Analysis as Topic • Models, Biological • Osteoblasts • Osteoprotegerin • Parathyroid Hormone-Related Protein • RANK Ligand • Solubility • Time Factors

Recent Publications   (More Publications)

1. Butt, J; Blot, WJ; Visvanathan, K; Le Marchand, L; Wilkens, LR; Chen, Y; Sesso, HD; Teras, L; Ryser, MD; Hyslop, T; Wassertheil-Smoller, S; Tinker, LF; Potter, JD; Song, M; Berndt, SI; Waterboer, T; Pawlita, M; Epplein, M, Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium., Cancer Epidemiol Biomarkers Prev, vol. 29 no. 12 (December, 2020), pp. 2729-2734 [doi]  [abs]
2. Brouwer, AF; He, K; Chinn, SB; Mondul, AM; Chapman, CH; Ryser, MD; Banerjee, M; Eisenberg, MC; Meza, R; Taylor, JMG, Time-varying survival effects for squamous cell carcinomas at oropharyngeal and nonoropharyngeal head and neck sites in the United States, 1973-2015., Cancer, vol. 126 no. 23 (December, 2020), pp. 5137-5146 [doi]  [abs]
3. Rodriguez-Homs, LG; Hammill, BG; Ryser, MD; Phillips, HR; Mosca, PJ, Relationship Between HCAHPS Scores and Survey Response Rate Is Linked to Hospital Size., J Patient Exp, vol. 7 no. 6 (December, 2020), pp. 1543-1548 [doi]  [abs]
4. Ryser, MD; Sorribes, IC; Greenwald, M; Wu, E; Hall, A; Mallo, D; King, LM; Hardman, T; Simpson, L; Maley, CC; Marks, JR; Shibata, D; Hwang, ES, Inferring the evolutionary dynamics of ductal carcinoma in situ through multi-regional sequencing and mathematical modeling., Cancer Research, vol. 80 no. 21 (November, 2020)
5. Epplein, M; Le Marchand, L; Cover, TL; Song, M; Blot, WJ; Peek, RM; Teras, LR; Visvanathan, K; Chen, Y; Sesso, HD; Zeleniuch-Jacquotte, A; Berndt, SI; Potter, JD; Ryser, MD; Haiman, CA; Wassertheil-Smoller, S; Tinker, LF; Waterboer, T; Butt, J, Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer., Microorganisms, vol. 8 no. 11 (October, 2020) [doi]  [abs]

Recent Grant Support

• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2020/10-2021/09.      
• Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies, Fred Hutchinson Cancer Research Center, 2019/09-2021/08.      
• The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2021/08.      
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2019/10-2020/09.      
• Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2020/06.      
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2018/10-2019/09.