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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. Shen, Y; Dong, W; Gulati, R; Ryser, MD; Etzioni, R, Estimating the frequency of indolent breast cancer in screening trials., Statistical Methods in Medical Research, vol. 28 no. 4 (April, 2019), pp. 1261-1271 [doi]  [abs]
  2. 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., Journal of the National Cancer Institute (February, 2019) [doi]  [abs]
  3. 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]
  4. Ryser, MD; Yu, M; Grady, W; Siegmund, K; Shibata, D, Epigenetic Heterogeneity in Human Colorectal Tumors Reveals Preferential Conservation And Evidence of Immune Surveillance., Scientific Reports, vol. 8 no. 1 (November, 2018), pp. 17292 [doi]  [abs]
  5. Ryser, MD; Min, B-H; Siegmund, KD; Shibata, D, Spatial mutation patterns as markers of early colorectal tumor cell mobility., Proceedings of the National Academy of Sciences of the United States of America, vol. 115 no. 22 (May, 2018), pp. 5774-5779 [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.      
  • Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2018/10-2019/09.      
  • Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2019/06.      
  • 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