Portrait of Yannis Trakadis is unavailable

Yannis Trakadis

Affiliate Member
Assistant Professor, McGill University, Department of Medicine and Department of Human Genetics
Research Topics
Learning on Graphs
Medical Machine Learning
Molecular Modeling
Natural Language Processing

Biography

Dr. Trakadis is a physician who specializes in genetics (medical geneticist) and practices medicine at the McGill University Health Centre.

He is active in the Canadian College of Medical Genetics, serving as chair of their Metabolics Committee and member of their Canadian Clinical Practice Guideline Development Committee.

Dr. Trakadis is a Fonds de recherche du Québec - Santé (FRQS) Clinical Research Scholar (mid-career), which was awarded in recognition of his research on applying machine learning (ML) to the health domain. His lab has applied ML to the analysis of genomic and downstream functional data from thousands of individuals. More specifically, the lab has developed novel ML methods for the analysis of clinical, genomic, transcriptomic and metabolomic data to enable more personalized medical care.

His academic interests include the clinical integration of novel technologies and digital health models, with the primary focus being the application of AI to advance precision medicine.

Publications

Co-developing longitudinal patient registries for phenylketonuria and mucopolysaccharidoses in Canada
John Adams
Kim Angel
John J. Mitchell
Pranesh Chakraborty
Beth K. Potter
Michal Inbar-Feigenberg
Sylvia Stockler
Monica Lamoureux
Alison H. Howie
Alex Pace
Nancy J. Butcher
Cheryl Rockman-Greenberg
Robin Hayeems
Anne-Marie Laberge
Thierry Lacaze-Masmonteil
Jeff Round
Martin Offringa
Maryam Oksoui
Andreas Schulze
Kathy N. Speechley … (see 3 more)
Kednapa Thavorn
Kumanan Wilson
Co-developing The Canadian MPS Registry: A longitudinal rare disease patient registry
John J. Mitchell
Michal Inbar-Feigenberg
Kim Angel
Pranesh Chakraborty
Monica Lamoureux
John Adams
Beth K. Potter
Sylvia Stockler-Ipsirolgu
Alison H. Howie
Alex Pace
Nancy J. Butcher
Cheryl Greenberg
Robin Hayeems
Anne-Marie Laberge
Jeff Round
Martin Offringa
Maryam Oskoui
Chelsea Ruth
Andreas Schulze
Kathy N. Speechley … (see 4 more)
Kednapa Thavorn
Kumanan Wilson
Thierry Lacaze
Family‐centred care interventions for children with chronic conditions: A scoping review
Andrea J. Chow
Ammar Saad
Zobaida Al‐Baldawi
Ryan Iverson
Becky Skidmore
Isabel Jordan
Nicole Pallone
Maureen Smith
Pranesh Chakraborty
Jamie Brehaut
Eyal Cohen
Sarah Dyack
Jane Gillis
Sharan Goobie
Cheryl Greenberg
Robin Hayeems
Brian Hutton
Michal Inbar-Feigenberg
Shailly Jain-Ghai
Sara Khangura … (see 18 more)
Jennifer MacKenzie
John J. Mitchell
Zeinab Moazin
Stuart G. Nicholls
Amy Pender
Chitra Prasad
Andreas Schulze
Komudi Siriwardena
Rebecca N. Sparkes
Kathy N. Speechley
Sylvia Stockler
Monica Taljaard
Mari Teitelbaum
Clara Van Karnebeek
Jagdeep S. Walia
Kumanan Wilson
Beth K. Potter
Assessing the quality and value of metabolic chart data for capturing core outcomes for pediatric medium-chain acyl-CoA dehydrogenase (MCAD) deficiency
Ryan Iverson
Monica Taljaard
Michael T. Geraghty
Michael Pugliese
Kylie Tingley
Doug Coyle
Jonathan B. Kronick
Kumanan Wilson
Valerie Austin
Catherine Brunel-Guitton
Daniela Buhas
Nancy J. Butcher
Alicia K. J. Chan
Sarah Dyack
Sharan Goobie
Cheryl Greenberg
Shailly Jain-Ghai
Michal Inbar-Feigenberg
Natalya Karp
Mariya Kozenko … (see 30 more)
Erica Langley
Matthew Lines
Julian Little
Jennifer MacKenzie
Bruno Maranda
Saadet Mercimek-Andrews
Aizeddin Mhanni
John J. Mitchell
Laura Nagy
Martin Offringa
Amy Pender
Murray Potter
Chitra Prasad
Suzanne Ratko
Ramona Salvarinova
Andreas Schulze
Komudi Siriwardena
Neal Sondheimer
Rebecca Sparkes
Sylvia Stockler-Ipsiroglu
Kendra Tapscott
Lesley Turner
Clara Van Karnebeek
Anthony Vandersteen
Jagdeep S. Walia
Brenda J. Wilson
Andrea C. Yu
Beth K. Potter
Pranesh Chakraborty
A primer on the use of machine learning to distil knowledge from data in biological psychiatry.
Thomas P. Quinn
Jonathan L. Hess
Victoria S. Marshe
Michelle M. Barnett
Anne-Christin Hauschild
Malgorzata Maciukiewicz
Samar S. M. Elsheikh
Xiaoyu Men
Emanuel Schwarz
Michael S. Breen
Eric J. Barnett
Yanli Zhang-James
Mehmet Eren Ahsen
Han Cao
Junfang Chen
Jiahui Hou
Asif Salekin
Ping-I Lin
Kristin K. Nicodemus … (see 7 more)
Andreas Meyer-Lindenberg
Isabelle Bichindaritz
Stephen V. Faraone
Murray J. Cairns
Gaurav Pandey
Daniel J. Müller
Stephen J. Glatt
Advancing Clinical Psychiatry: Integration of Clinical and Omics Data Using Machine Learning
Bill Qi
Twins with psychiatric features and a nonsense HRAS variant affecting transcript processing
Andrea Accogli
Meagan L. Collins Hutchinson
Eric Krochmalnek
Judith St-Onge
Nassima Boudrahem-Addour
Jean-Baptiste Rivière
Ridha Joober
Myriam Srour
PRACTICAL APPLICATIONS OF MEDICAL GENETICS AND GENOMICS FOR PSYCHIATRISTS
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
Sameer Sardaar
Bill Qi
Alexandre Dionne-Laporte
Guy. A. Rouleau