The Integrated Mathematical Oncology department uses the integration of theory & experiments to better understand cancer initiation, progression & treatment.

Moffitt Cancer Centre
Joined October 2014
And you can do a PhD in #MathOnco with some of the leaders in the field. Fully paid program and stipend included!
Advance your career with Moffitt’s Cancer PhD Program! Gain hands-on research experience, learn from leading scientists and explore specialized majors focused on advancing cancer research. Application deadline: Dec. 1, 2026. Learn more and apply today: bit.ly/3YH7yfH
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Advance your career with Moffitt’s Cancer PhD Program! Gain hands-on research experience, learn from leading scientists and explore specialized majors focused on advancing cancer research. Application deadline: Dec. 1, 2026. Learn more and apply today: bit.ly/3YH7yfH
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Check out the new initiation from Bulletin of Mathematical Biology called MathBioNexus. Live seminars, the next one entitled "Cells, bureaucracy and corruption" by Fred Adler cassyni.com/events/S1zv5xP1X…
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Today’s @mathonco research in progress is by Hannah Anderson from @RejniakLab presenting, "Robust schedules of adoptive cell therapy in a virtual murine cohort of bladder cancer with experimental validation" @MoffittNews
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Today’s @mathonco research in progress is by @fpradelli94 from @mathoncbro lab presenting, Dose response dynamics in Anaplastic Large Cell Lymphoma. @MoffittNews
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Want to come to Tampa in late october for a hands-on #MathOnco workshop? Registration is free and you might get a travel award! eventbrite.com/e/imo-worksho…
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Full circle moment. I've been a researcher @MoffittNews for over 20 years and this Friday, my son Nathan will present his own research through Moffitt's High school math-oncology internship. "Optimizing Ovarian Cancer Treatment Times Based on MGMT Circadian Rhythm." So Proud!
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Don’t miss Jill Gallaher, PhD (@jillagal), tomorrow at SMB #ECMTB2026, where she will share agent-based modeling research examining how tumor evolvability influences growth, treatment resistance and recurrence, with implications for designing evolution-informed treatment strategies. #MoffittECMTB2026 Learn more ➡️ bit.ly/3T8rFD3
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Tomorrow at SMB #ECMTB2026, Alexander Anderson, PhD (@ara_anderson), highlights how mathematical models, machine learning and digital twins can optimize evolution-informed cancer treatment strategies, including adaptive therapy, and help bridge the gap between preclinical research and clinical trials. #MoffittECMTB2026 Learn more: bit.ly/44q28Yy
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Don’t miss Renee Brady, PhD, tomorrow at SMB #ECMTB2026, where she will share research using mechanistic models of PSA dynamics to characterize patient-specific prostate cancer treatment response and disease progression, with the goal of informing more personalized treatment strategies. #MoffittECMTB2026 Learn more: bit.ly/4ycWre1
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Tomorrow at SMB #ECMTB2026 Diya Upadhyaya presents research combining mathematical modeling and patient-reported outcomes to forecast treatment response and disease progression in patients with non-small cell lung cancer, to support more personalized clinical decision-making. #MoffittECMTB2026 Learn more: bit.ly/4ydVdPK
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Catch Yunli Qi tomorrow at SMB #ECMTB2026, where he will present research combining deep reinforcement learning and spatial agent-based modeling to optimize adaptive therapy for prostate cancer, using historical treatment response to inform more robust treatment strategies. @OxUniMaths #MoffittECMTB2026 Learn more: bit.ly/4eWYKKY
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Don’t miss Franco Pradelli, PhD (@fpradelli94), tomorrow at SMB #ECMTB2026, where he will share research combining mathematical modeling and patient-derived cell lines to exploit evolutionary trade-offs in anaplastic large cell lymphoma and design treatment strategies that may prolong tumor control. #MoffittECMTB2026 learn more ➡️ bit.ly/4aL8IMQ
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Tomorrow at SMB #ECMTB2026, Daniel Camacho-Gomez, PhD, will share the latest research using machine learning and clinical imaging to predict skin lesion evolution, with the goal of supporting earlier, more personalized treatment decisions in skin cancer. #MoffittECMTB2026 learn more ➡️ bit.ly/4grSdcc
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Live from #AACR26: I spoke with Sandy Anderson, PhD (@ara_anderson), about math oncology and how it’s helping us better predict cancer outcomes. By using data and machine learning, researchers can model how cancer may grow and respond to treatment, bringing us closer to more informed, personalized care. #AACR26 #MoffittAACR26 @MoffittNews
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Ok I know at this point it might be a waste of time but I'm determined to finish posting about #MathOnco25! We were about half way through day 3 but before I go on there it wasn't all work - we also had lots of fun!
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Next is #AndersonLab member M A Masud @masud_math: "Developing model-based pipeline for combination therapy cycling: KRAS mutated NSCLC". Unfortunately the recording didn't work for Masuds presentation but expect a preprint on this work shortly @mathonco #MathOnco25 @MoffittNews
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#AACR26: @MoffittNews IMO Dept Chair @ara_anderson talks about Phase i trials in cancer: going from board → bench → bedside → back🧬 #MoffittAACR
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