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Math @ Duke





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

Marc D. Ryser



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: send me a message
Web Pages:  http://www.math.duke.edu/~ryser/
https://ryser.netlify.com

Education:

Ph.D.McGill University (Canada)2011
MS (Physics)EPFL2006
BS (Physics)EPFL2004
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. Ryser, MD; Hendrix, LH; Worni, M; Liu, Y; Hyslop, T; Hwang, ES, Incidence of Ductal Carcinoma In Situ in the United States, 2000-2014., Cancer Epidemiol Biomarkers Prev, vol. 28 no. 8 (August, 2019), pp. 1316-1323 [doi]  [abs]
  2. Grimm, LJ; Miller, MM; Thomas, SM; Liu, Y; Lo, JY; Hwang, ES; Hyslop, T; Ryser, MD, Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast Disease., Radiology, vol. 292 no. 1 (July, 2019), pp. 77-83 [doi]  [abs]
  3. Shen, Y; Dong, W; Gulati, R; Ryser, MD; Etzioni, R, Estimating the frequency of indolent breast cancer in screening trials., Stat Methods Med Res, vol. 28 no. 4 (April, 2019), pp. 1261-1271 [doi]  [abs]
  4. Ryser, MD; Weaver, DL; Zhao, F; Worni, M; Grimm, LJ; Gulati, R; Etzioni, R; Hyslop, T; Lee, SJ; Hwang, ES, Cancer Outcomes in DCIS Patients Without Locoregional Treatment., J Natl Cancer Inst (February, 2019) [doi]  [abs]
  5. Ryser, MD; Gulati, R; Eisenberg, MC; Shen, Y; Hwang, ES; Etzioni, RB, Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials., American Journal of Epidemiology, vol. 188 no. 1 (January, 2019), pp. 197-205 [doi]  [abs]
Recent Grant Support

  • The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2021/08.      
  • The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2021/08.      
  • 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.      
  • The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2016/09-2018/08.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320