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Welcome!

I am a Schmidt AI in Science Postdoctoral Fellow working at the University of Toronto. I obtained my PhD degree in Quantitative Life Sciences from McGill University (2022), and my BSc degree in Biological Sciences from Fudan University (2018). I was a Senior Research Scientist at 5 Prime Sciences Inc (2022-2023).

My research focuses on developing and implementing rigorous statistical genetics and genetic epidemiology methods to improve the prevention, diagnosis, and treatment of complex diseases, and translating research findings into new medical care approaches and therapies. I strive to conduct research from which all members of society can benefit.

I particularly enjoy working with people from diverse cultures and backgrounds. Hundreds of collaborators, including but not limited to medical doctors, statisticians, epidemiologists, biologists, and informaticians have made indispensable contributions to my works.

Please reach out to me for research collaborations or if you have any questions! ([email protected] or [email protected])

Tianyuan Lu, PhD's Projects

bdcocolasso icon bdcocolasso

Implementation of the block-descent-CoCoLasso, inspired from the article https://arxiv.org/pdf/1510.07123.pdf

micm_prs icon micm_prs

Workshop on polygenic risk scores, hosted by McGill Initiative in Computational Medicine

prs-fh-prediction icon prs-fh-prediction

Capturing additional genetic risk from family history for improved polygenic risk prediction

sail icon sail

sparse additive interaction learning

stophim icon stophim

Program for stochastic simulation of histone modification dynamics

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