On May 9, the School of Mathematics and Statistics welcomed Prof. Cecilia Cavaterra from the University of Milan for an academic talk titled “Inverse Problems for Reconstructing Early-Stage Tumor Dynamics.” Hosted by Prof. Zu Gao, the event drew faculty and students specializing in applied mathematics and mathematical biology.
Prof. Cavaterra focused on inverse problems in tumor growth modeling, particularly using the Allan-Cahn equation under time-reversed scenarios. She analyzed solution well-posedness, uniqueness, and stability, connecting theoretical results to clinicalapplications in early-stage oncology. Her talk highlighted how mathematical rigor can address challenges in medical data interpretation.
Following the presentation, a Q&A session delved into computational strategies and interdisciplinary collaboration. Attendees discussed how mathematical models could connect with real-world medical practices, and Prof. Cavaterra emphasized the need for closer collaboration between researchers and healthcare teams.
(Text：Gao Qi Photo:Gao Zu Translator: Gao Qi Review: Zeng Xiaoyu)
