Dr. Su’s graduate school research utilized systems biology approaches and various single-cell technologies to tackle one of the biggest problems in cancer; i.e., drug resistance. After obtaining his Ph.D. degree, Dr. Su conducted postgraduate research at the Institute for Systems Biology in the lab of Leroy Hood, MD, PhD, who pioneered the field of systems biology. Closely collaborating with a group of world-leading immunologists (Mark M. Davis, PhD; Philip Greenberg, MD; Raphael Gottardo, PhD; James R Heath, PhD; Jeff Bluestone, PhD; Lewis Lanier, PhD; Alan Aderem, PhD), Dr. Su utilized data science, including multi-omic bulk and single-cell analyses, to investigate the systems immunology of COVID-19. Currently, Dr. Su is a Damon Runyon Quantitative Fellow at the Fred Hutchinson Cancer Center (Fred Hutch), co-mentored by Dr. Philip Greenberg, a pioneer in the field of adoptive T cell therapy, and Dr. Raphael Gottardo, a renowned computational biologist. Dr. Su combines computational and experimental methods to study many quantitative questions that must be addressed to advance adoptive T cell therapies against solid tumors.
Dr. Su has published 27 papers, including nine first-author papers in prestigious journals, such as Cell and Nature Biotechnology, which has been reported in the New York Times, The Wall Street Journal, National Geographic, TIME magazine and other media. Dr. Su has been invited to give 20 national and international talks about his research, and received 23 honors for his research excellence, such as the Herbert Newby McCoy Award (the highest honor of the Caltech Division of Chemistry and Chemical Engineering) and a prestigious award from the Chinese government. Dr. Su has also obtained highly-competitive fellowships, including one of only three 2022 Damon Runyon Quantitative Biology Fellowship awards, and six independent research grants ($565,000 total). He has mentored 11 trainees who went further to pursue Ph.D. or M.D.-Ph.D. degrees in prestigious institutions, such as University of Cambridge, UC Berkeley and the University of Washington.