Heiko Enderling is a German-American mathematical biologist and mathematical oncologist known for his work in quantitative personalized oncology. He is Professor in the Department of Radiation Oncology at The University of TexasMD Anderson Cancer Center, where he directs the Computational Modeling in Radiation Oncology Program and co-leads the Computational Modeling for Precision Medicine focus within the Institute for Data Science in Oncology.[1] His research integrates mathematical modeling, systems biology, and clinical data to create predictive tools and digital twins for cancer therapy.[2]
He pursued doctoral studies at the University of Dundee in Scotland, completing a Ph.D. in Mathematical Biology in 2006 under the supervision of Mark Chaplain, Glenn Rowe, and Alexander Anderson. [5]
His dissertation, Mathematical modelling of breast tumour development, treatment and recurrence, explored computational methods for simulating tumor growth and recurrence following therapy, especially external beam radiotherapy and targeted intraoperative radiotherapy (Targit).[6]
During this time, he developed mathematical models of cancer stem cell dynamics and radiation response, research that challenged existing assumptions and helped shape his later focus on tumor heterogeneity and radiotherapy resistance.[4]
Following his postdoctoral work, Enderling joined Tufts University as an Assistant Professor, serving there from 2010 to 2013. [7]In 2013, he moved to the Moffitt Cancer Center in Tampa, Florida, where he became a Senior Member in the Department of Integrated Mathematical Oncology. At Moffitt, he established the Quantitative Personalized Oncology laboratory, advancing the integration of mathematical and computational modeling into cancer research and prospective clinical trials.[8]
In 2023, Enderling joined The University of TexasMD Anderson Cancer Center as Professor of Radiation Oncology. At MD Anderson Cancer Center, he founded and directs the Computational Modeling in Radiation Oncology Program and assumed a leadership role in the Institute for Data Science in Oncology, helping to build infrastructure for the development and clinical application of digital twin technologies.[9]
Enderling, Heiko; Chaplain, Mark A.J.; Anderson, Alexander R.A.; Vaidya, Jayant S. (2007). "A mathematical model of breast cancer development, local treatment and recurrence". Journal of Theoretical Biology. 246 (2): 245–259. Bibcode:2007JThBi.246..245E. doi:10.1016/j.jtbi.2006.12.010. PMID17289081.
Enderling, Heiko; Anderson, Alexander R.A.; Chaplain, Mark A.J.; Beheshti, Afshin; Hlatky, Lynn; Hahnfeldt, Philip (11 November 2009). "Paradoxical Dependencies of Tumor Dormancy and Progression on Basic Cell Kinetics". Cancer Research. 69 (22): 8814–8821. doi:10.1158/0008-5472.can-09-2115. PMID19887613. S2CID16251292.
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