Chen-Yang Su

Ph.D. candidate, McGill University

    Montréal, Québec

I am a 3rd year PhD candidate in the Quantitative Life Sciences (QLS) program at McGill University. I am currently an elected member of the Young Investigator Committee of the International Genetic Epidemiology Society. I completed my M.Sc. in the School of Computer Science at McGill University in 2022, supervised by Joelle Pineau and Brent Richards and was affiliated with Mila as well as the Lady Davis Institute at the Jewish General Hospital. I completed my B.Sc. in Computer Science and Biology at McGill University in 2020.

  • My research has allowed me to contribute to publications published or accepted in peer-reviewed journals, including The New England Journal of Medicine, Nature Genetics, Nature Metabolism, Lancet Haematology, American Journal of Human Genetics (AJHG), European Heart Journal (EHJ), Diabetes Care, Journal of Clinical Endocrinology and Metabolism (JCEM), Communications Medicine, Communications Biology, and many more.
  • My research has been supported by a Canada Graduate Scholarships Doctoral (CGS-D) Award (113,333 CAD), an FRQS Doctoral Training Fellowship (84,000 CAD), and a Lady Davis Institute / TD Bank Studentship (20,000 CAD).
  • In addition to these major fellowships, I have been fortunate to receive 48 additional honors and awards, including international or institutional research fellowships, travel awards, publication awards, presentation awards, and competitions.
  • In the past, I was the first Canadian intern at Hinge Health (now IPO’d raising $437.3M) and in 2021 was selected as a world finalist in the $500k USD XPrize Pandemic Response Challenge.

News

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  • [2023-08] 3rd place award at the Quantitative Life Sciences PhD Program Three-Minute Thesis Competition!
  • [2023-06] Co-author on paper accepted at Communications Medicine: Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection (paper)!
  • [2023-04] I am awarded a Doctoral Training Award ($105,000 CAD) from the Canadian Institutes of Health Research (CIHR)!
  • [2023-04] 2nd place award at the Quantitative Life Sciences PhD Program Three-Minute Thesis Competition!
  • [2023-03] First-author paper accepted at Scientific Reports: Circulating proteins to predict COVID-19 severity!
  • [2023-03] I am awarded a Mitacs Globalink Research Award of $6,000 CAD!
  • [2023-03] I am awarded a Graduate Mobility Award of $6,000 CAD!
  • [2023-02] Co-author on paper accepted at Nature Metabolism: Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity (paper)!
  • [2023-02] Co-author on paper accepted at the International Journal of Epidemiology: Increasing serum iron levels and their role in the risk of infectious diseases: a Mendelian randomization approach (paper)!
  • [2023-01] Our work is mentioned in the Association for the Advancement of Blood & Biotherapies (AABB) News Magazine (online magazine pdf)!
  • [2023-01] Presented a poster at the McGill Quantitative Life Sciences Research Day!
  • [2023-01] Co-author on new preprint on medRxiv: HLA allele-calling with whole-exome sequencing finds 129 novel associations in 11 autoimmune diseases: a multi-ancestry analysis in the UK Biobank (paper)!
  • [2023-01] Co-author on paper accepted at Nature Genetics: Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases (paper)!
  • [2023-01] I begin my second QLS PhD Rotation working with Dr. Alan Barkun at the McGill University Health Center and Montreal General Hospital!
  • [2022-12] 2nd place award at the Quantitative Life Sciences PhD Program Three-Minute Thesis Competition!
  • [2022-11] I am awarded a Graduate Excellence Award of $3,000 CAD!
  • [2022-10] Presented a poster at the McGill School of Computer Science 50th Anniversary Celebration!
  • [2022-09] I am starting my QLS PhD Rotation in the Decision Modeling Lab with Prof. Alton Russell!
  • [2022-09] I am returning as a teaching assistant for COMP 202: Foundations of Programming at McGill University!
  • [2022-09] I begin my PhD in Quantitative Life Sciences (QLS) at McGill University!
  • [2022-09] I am awarded two Graduate Excellence Awards of $2,000 CAD and $3,000 CAD!
  • [2022-08] Co-author on paper accepted at Clinical Proteomics: The dynamic changes and sex differences of 147 immune-related proteins during acute COVID-19 in 580 individuals (paper)!
  • [2022-08] I am honored to be invited as a speaker to present at the Graduate Orientation Fellowship Sessions (FRQS Doctoral Awards) to incoming graduate students at McGill - slides, recording. (24 Aug)!
  • [2022-06] I am awarded a Doctoral Training Award ($84,000 CAD) from the Fonds de recherche du Quebec – Sante (FRQS)!
  • [2022-05] I begin my summer internship on the Computer Vision Science Team at Hinge Health!
  • [2022-05] Graduated with an MSc in Computer Science at McGill University!
  • [2022-03] I am selected as a mentor for the Undergraduate Poster Showcase hosted by the Office of Science Education at McGill!
  • [2021-09] I get my first teaching experience as a teaching assistant for COMP 202: Foundations of Programming at McGill University!
  • [2021-08] Abstract accepted for a poster presentation at the American Society of Human Genetics!
  • [2021-08] I will be attending the Oxford Machine Learning Summer School (20-21 July; 9-20 Aug)!
  • [2021-08] I am invited as a judge at the McMedHacks Hackathon (6-8 Aug)!
  • [2021-07] I will be attending and presenting a poster at the CIFAR Deep Learning & Reinforcement Learning (DLRL) Summer School (26-31 Jul)!
  • [2021-07] I will be volunteering at the International Conference on Machine Learning (ICML) (18-24 Jul)!
  • [2021-06] I will be giving a talk at the Summer Reasoning and Learning Lab Mini Conference!
  • [2021-06] I will be joining McMedHacks as a mentor to help teach medical image analysis and deep learning in Python!
  • [2021-06] I will be attending the STAQ Quantum Ideas Summer School hosted by Duke University (7-11 Jun)!
  • [2021-05] 1st place award at the 21st Annual McGill Biomedical Graduate Conference (AMBGC) for best poster presentation!
  • [2021-05] I am awarded an LDI-TD Bank Studentship!
  • [2021-03] Our team competing in the XPRIZE Pandemic Response challenge are selected as world finalists!
  • [2021-01] Our paper Regularized Inverse Reinforcement Learning is accepted for Spotlight Presentation at ICLR 2021!
  • [2020-09] I begin my MSc in Computer Science working with Brent Richards and Joelle Pineau!
  • [2020-05] Graduated with a BSc in Computer Science and Biology at McGill University! (Spring 2020 Virtual Convocation - Science)

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