Russell Rockne, Ph.D.
- Director, Division of Mathematical Oncology
- Assistant Professor, Department of Information Sciences
Russell Rockne, Ph.D.
- Mathematical Oncology
Russell Rockne, Ph.D., is an assistant professor in the Department of Information Sciences within Beckman Research Institute. He also serves as director of the Division of Mathematical Oncology, with the goal of translating mathematics, physics and evolution-based research to clinical care.
Dr. Rockne received his doctorate in Mathematical Biology from the University of Washington in 2013, and then conducted a post-doc in Mathematical Oncology at Northwestern University. He also has been a research associate in Neurological Surgery, and a research scientist in Pathology and Applied Mathematics. In 2014, Dr. Rockne received the “Future of Mathematical Biology” award from the Society for Mathematical Biology.
- Mathematical Oncology: Information Sciences
- 2013, University of Washington, Seattle, WA., Ph.D., Applied Mathematics
- 2006, University of Washington, Seattle, WA., MS, Applied Mathematics
- 2002, University of Colorado, Boulder, CO, BS, Mathematics and Fine Art
Beca de investigación
- 2013 - 2015, Northwestern University, Chicago, IL., Postdoctoral Research in Mathematical Oncology
Dr. Rockne's research focuses on patient-specific mathematical models of cancer growth and response to therapy. His research lies at the interface of mathematics, imaging, histopathology and genomics, combining information to mathematically model treatment of individual cancer patients, and how their tumors evolve when confronted with specific treatment regimens. Dr. Rockne's personal research goal is to explore the novel hypothesis that mathematical models can quantify and predict individual patient disease dynamics and recurrence resulting from therapy in vivo.
“Method and system for characterizing tumors”
K. R. Swanson. E. C. Alvord, Jr., J. D. Murray, R. Rockne
File date: 2/19/2010
Application #: US 12/709,367
US Patent No. 8,571,844
Issue date: 10-29-2013
Information listed here is obtained from Pubmed, a public database; City of Hope is not responsible for its accuracy.
- Hawkins-Daarud AJ, Rockne RC, Corwin D, Anderson AR, Kinahan PE, Swanson KR. In silico analysis suggests differential response to bevacizumab and radiation combination therapy in newly diagnosed glioblastoma. J R Soc Interface [Internet]. 2015;12.
- Radiation Research Society (RRS) -Scholars in Training (SIT) committee member for RRS
- Society of Mathematical Biology (SMB) - Editor for the graduate student and postdoc column in the SMB society newsletter
- Society of Industrial and Applied Mathematics
- 2014 Named the “Future of Mathematical Biology” - This award is featured semi-annually in the Society for Mathematical Biology newsletter
- 2013 Landahl Student Travel Award: Society for Mathematical Biology (SMB) - Annual Meeting Phoenix Arizona
- 2011 Robert’s prize nominee: Top 10 paper of the year for Physics in Medicine and Biology - Rockne, R, Rockhill JK, Mrugala M, Spence AM, Kalet I, Hendrickson K, Lai A, Cloughsey T, Alvord EC Jr., Swanson KR: Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach. Physics in Medicine and Biology, 55: 3271-3285 2010. PubMed ID: 20484781
- 2011 Best Abstract: 36th Annual Western Regional Society for Nuclear Medicine - Rockne R, Champley K, Alessio A, Muzi M, Krohn KA, Kinahan PE, Swanson KR. Patient-specific simulations allow prediction of hypoxia and [18F]FMISO-PET in human glioblastoma. Seattle, WA
- 2009 Clinical research paper of the year - Swanson KR, Chakraborty G, Wang CH, Rockne R, Harpold HLP, Muzi M, Anderson TCH, Krohn KA, Spence AM: Complimentary but Distinct Roles for MRI and 18F-Fluoromisonidazole PET in the Assessment of Human Glioblastomas. Journal of Nuclear Medicine, 50: 36-44 2009. PubMed ID: 19091885
- 2008 Landahl Student Travel Award: European Society for Theoretical and Mathematical Biology (ESMTB) - Annual Meeting Edinburgh Scotland Patents Awarded “Method and system for characterizing tumors” K. R. Swanson. E. C. Alvord, Jr., J. D. Murray, R. Rockne File date: 2/19/2010 Application #: US 12/709,367 US Patent No. 8,571,844 Issue date: 10-29-2013