Radiation Therapy (RT) is one of the most widely used methods to treat cancer. Designing an RT treatment plan is a complex and multi-faceted task that needs to be personalized for each patient. We use AI, inverse optimization, and robust optimization, to learn from past successful treatments and design optimal personalized treatment for future patients efficiently. This is an ongoing project encompassing several specialized topics and involving many lab members. Check out a few examples of our published work on this topic:Â