Cancer can be described as an evolutionary process. Tumor cells rapidly divide, accumulate random genetic variation, and compete for limited resources within the body. This process results in highly divers, adaptable tumors that can evade our best therapeutic interventions. Mathematics, and specifically probability theory, the study of randomness, provides us with a powerful tool to  try to understand and predict the complex patterns of evolution in cancer.

Professor Daniel Keefe’s innovations in computing education invite students into provocative and authentic learning experiences that tackle real-world problems while simultaneously broadening participation and diversity in computer science. Whether designing writing and programming intensive required courses or visually stunning computer graphics and virtual reality projects, Dan’s integrative teaching, mentoring, and advocacy responds to genuine needs in society and challenges students to mindfully design and build new technologies that fundamentally make people better.