Biomedical Data Sciences (BDS)

The Biomedical Data Sciences (BDS) trains students to be experts in the use of computational, statistical, and machine learning tools for solving biomedical problems. BDS is intended for science and engineering students interested in how data science tools can operate alongside other areas of bioengineering to solve problems in areas including pattern recognition, prediction, control, measurement, and visualization. Students will be trained in the algorithmic and statistical fundamentals of the field. Directed interdisciplinary training will prepare students to be practitioners in the application of data science to analyze clinical imaging, molecular and cellular systems, medical devices, electronic health record data, and the many other areas of biomedicine that routinely generate data. In parallel to learning fundamentals, students will develop expertise in these application areas, providing them additional expertise in real-world problem solving. In total, this area fosters the development of students who go on to become data scientists with the unique ability to actively interface with practitioners in other areas of bioengineering and medicine.

Faculty and Lecturers

Aaron Meyer, Ph.D.

Field Chair 

4121G Engineering V

Corey Arnold, Ph.D.

Field Chair 

924 Westwood Blvd Ste 600

Arash Naeim, M.D 

200 UCLA Medical Plaza Suite 120 


Tom Chou, Ph.D. 

Life Sciences 5209


William Speier, Ph.D. 

924 Westwood Blvd, Suite 420, Room K

Xinshu (Grace) Xiao, Ph.D. 

Terasaki Life Sciences Building, 2000E