Professor Joly is an internationally acclaimed figure in health law, intellectual property, and bioethics, leaving an enduring impact on the ethical landscape of modern medicine. With pivotal roles in the International Cancer Genome Consortium (ICGC) and the International Human Epigenome Consortium (IHEC), he has spearheaded the development and implementation of controlled access mechanisms in genomics research since 2009, influencing emerging models worldwide. With over 120 peer-reviewed publications, influential book chapters, and recognition such as the "Innovation Merit" award from the Quebec Bar, his influence extends to legal, ethical, and scientific domains. Testifying before esteemed bodies like the Council of Europe and the Canadian Senate, his expertise shapes genetic discrimination discourse. Inducted into the Canadian Academy of Health Sciences (CAHS), his current research navigates the intricate interplay of scientific knowledge, health law, and bioethics at the forefront of biotechnology and emerging health technologies.

Check out Dr. Joly's latest research here: https://tinyurl.com/25ff2u5n Connect with me here: https://twitter.com/Mike__Kazemi

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In this episode, we delve into the intricate world of the human pangenome with Cristian Groza, a Ph.D. student specializing in bioinformatics from Bourque lab at McGill University.

A Draft Human Pangenome Reference paper Connect with Cristian here Connect with me here

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Dr. Sarah Gagliano Taliun is a researcher affiliated with the Montréal Heart Institute and the Université de Montréal. She specializes in neurogenetics, complex traits, and genomics. Her research focuses on understanding genetic factors and tackling questions surrounding human health from a mechanistic and biological perspective. She employs state-of-the-art computational and bioinformatics approaches, including machine learning techniques, to study these genetic factors. Dr. Gagliano Taliun's work involves the development of predictive models that are specific to an individual's sex, contributing to personalized medicine. Using statistical and computational methods, she aims to uncover the underlying mechanisms and genetic components related to various health conditions. Her research has the potential to enhance our understanding of complex traits and advance the field of genomics.

• Her lab: https://sgagliano.github.io/
• The paper discussed on the show: https://pubmed.ncbi.nlm.nih.gov/36119674/

Connect with me on Twitter: https://twitter.com/Mike__Kazemi

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