Our trainees obtain a Ph.D. degree in under five years on average. Over half of our graduates hold academic or medical center faculty positions; the other half work in government or industry in quantitative biosciences, e.g., founding a healthcare AI company or working in Google’s Brain Genomics Team. Our students receive a stipend of more than $40K/year and also have their UCLA tuition & fees and health insurance paid. In addition, students have access to multiple NIH-funded training programs in specific areas of interest including the Genomic Analysis Training Program (GATP) and the Biomedical Data Science Training Program for Precision Health Equity (BDTP).
The goal of the doctoral program is to train creative, fully independent investigators in mathematical, theoretical, and computational biology. These investigators will be able to initiate research in applied mathematics, statistics, and computer science, as well as their chosen biomedical specialty. This biological breadth contends with their quantitative breadth. Further, this breadth is reflected in a curriculum providing doctoral-level competence in a biomedical specialty; substantial training in applied mathematics, statistics, and computing; and appropriate biomathematics courses and research experience.
Trainees typically focus on one of the three Areas of Emphasis during their dissertation research, but the Ph.D. program is structured so that each trainee obtains foundations in all areas. Trainees in the program will obtain experience in developing new mathematical and computational methods for modeling biomedical systems and work collaboratively to apply these models in their biomedical domain, including within and outside the UCLA Health System.