Our lab in BC Cancer Research conducts causal inference research to understand the mechanisms of complex disease development and progression using machine learning and data science. We develop causal inference and machine learning methods widely applicable in single-cell genomics, multi-omics data integration, and statistical genetics research. We apply our computational methods to large regulatory genomics and single-cell transcriptomics data generated by international consortia, such as NIH ENCODE and GTEx, Human Cell Atlas, and Tabula Muris/Sapiens (Chan-Zuckerberg BioHub). We are also privileged to contribute to single-cell data analysis in collaborations locally with the experimental labs at BC Cancer Research Institute, including Dr. Samuel Aparicio, Dr. Poul Sorensen, and Dr. Ramon Klein Geltink.
Our lab is uniquely situated across multiple disciplines: single-cell genomics, statistical genetics, causal inference and machine learning. Through this vantage point, not only do we push forward the frontiers of machine learning research in biology, but our research program also seeks to identify uncharted directions in computational biology research. Our computational research involves reproducible, efficient, and widely-applicable software development. We have rich experience in scientific computing and machine learning before and after the deep learning renaissance. If needed, instead of being confined by existing tools and libraries, our computational team can initiate research from a low-level programming language
Park Lab
Members
Faculty/Leaders
Dr. Yongjin Park, PhD, MSc, BSc
Scientist
Staff
Cynthia Ferguson
Research Projects and Operations Leader
Students/Trainees
Maxwell Douglas
Graduate Student
Yaoyue (Yolanda) Feng
Graduate Student
Yi-Ting (Tina) Hsu
Graduate Student
Kevin Lam
Graduate Student
Sishir Subedi
Graduate Student
Ming Yuan
Graduate student
BC Cancer Foundation is the fundraising partner of BC Cancer, which includes BC Cancer Research. Together with our donors, we are changing cancer outcomes for British Columbians by funding innovative research and personalized treatment and care.