
The Springer Math Podcast
Mathematics and Cancer Therapy: Trachette Jackson interviewed by Lynn Brandon
Sep 19, 2021
Trachette Jackson, a renowned mathematician in oncology, discusses optimizing cancer drug therapy through mathematical models. She shares her journey into mathematical biology and highlights the importance of diversity in research. The podcast also explores the pandemic's impact on scientific collaboration and ends with a casual Q&A session with the guest.
23:31
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Mathematical oncology research focuses on data-driven models for cancer therapy optimization.
- Mathematical models predict optimal dosing schedules and synergistic interactions in cancer therapy.
Deep dives
Research in Mathematical Oncology and Targeted Molecular Therapeutics
The podcast episode delves into the research of Trey Shet L. Jackson, a mathematics professor specializing in mathematical oncology. Jackson's work focuses on creating data-driven mathematical models for cancer, particularly in optimizing targeted molecular therapeutics. By integrating molecular events with cellular dynamics, including the tumor microenvironment, her research aims to enhance the understanding of tumor growth and response to therapies.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.