Associate Professor, SBME
PI, Life Sciences Institute
Senior Scientist, Vancouver Prostate Center
Affiliate Member, BC Cancer Research Centre


To bring quantitative analytical and engineering perspective to pertinent problems in medicine and biology.

I strongly believe that new tools and new technologies are essential for making new discoveries in science, and particularly in biology and medicine. Specifically linked to diagnostics, tangible improvements in the healthcare can take place only with a systemic, holistic and multi-prong approach ˗ where technology will likely be a defining element. Hence, new technologies will need to be developed in a responsible manner while being mindful of context.


Dr. Kaigala’s and team – Quantitative Technology for Biology and Medicine – are very interested in the areas of microscale fluid control, microscale molecular assays and technologies for personalized medicine. He is passionate about translational clinical/medical research. With his team, he strives to bring quantitation in biology and medicine by leveraging bioinstrumentation and micro-and nanosystems.


Prior to joining UBC in May 2022, Dr. Govind Kaigala was at the Research laboratory of IBM in Zurich for about 11 years where he was a Scientist and a Principal Investigator leading a team of researchers in the area of Precision Diagnostics. He earned his PhD from the departments of Electrical and Computer Engineering and Oncology in 2009 from the University of Alberta where he developed microfluidic systems for genetic analysis. He completed an NSERC Postdoctoral Fellowship at Stanford University between the Microfluidics Laboratory in the Dept. of Mechanical Engineering and Dept. of Urology at the Stanford Medical School (VA Hospital).  Dr. Kaigala has authored and co-authored 75 papers in refereed journals and co-authored a book on open-space microfluidics. He has been the co-author on over 45 families of patents and his work has influenced the design of biotech products in the industry in the field of hematology and protein analysis.


Dr. Kaigala’s publications can be found at Google Scholar.


Currently accepting graduate and post-doc applications.