Kayode Olumoyin

I am an applied postdoctoral fellow at the H. Lee Moffitt Cancer Center & Research Institute in Tampa, Florida, and a researcher in Dr. Kasia Rejniak's computational laboratory in the Department of Integrated Mathematical Oncology (IMO). My research involves developing data-driven computational models to study interactions between tumor cells and T cells within the tumor microenvironment in the presence of chemotherapy and immunotherapy drugs. These models can help validate biological hypotheses about cancer and its response to treatments. I have also developed deep learning and machine learning techniques that learn nonlinear interactions. These techniques can make non-intuitive predictions of target outcomes, such as tumor-infiltrating lymphocyte expansion in a bladder cancer study or progression of cancer cachexia stages using clinical electronic health records. There are numerous challenges in these biological models, such as sparse and missing data. This has informed the data-driven approaches that I developed to tackle these issues. My codes are on GitHub at https://github.com/okayode.