David Boucher-Roy

Junior Biostatistician

 I hold a bachelor's degree in mathematics and a master's degree in statistics from the Université de Montréal. I wrote a thesis on Mendelian randomization and completed an internship at the CHUM Research Center, which consolidated my interest in biostatistics and led me to join the CITADEL team in July 2022. My area of expertise includes multivariate analysis, regression models, resampling methods and causal inference. I also place great value on consulting and teaching, which is why I'm currently developing statistical training courses for the CRCHUM.

Michaël Chassé, M.D., Ph. D., FRCPC

Intensivist and regular CRCHUM researcher, Founder and scientific director of CITADEL

Michaël Chassé is a doctor specializing in intensive care at the Centre hospitalier de l’Université de Montréal (CHUM), a regular researcher at the CHUM Research Centre and an associate professor in the Department of Medicine and the School of Public Health of the Université de Montréal. He holds a Ph.D. in epidemiology from the University of Ottawa.  

His research work deals mainly with improving traditional epidemiological research methods by using new technologies such as automatic learning and innovative clinical trials, particularly in areas related to intensive care such as organ donations, organ transplants, and blood transfusions.  

Rima Bouchakri, Ph. D.

Data scientist, data integration specialist

Rima Bouchakri earned a Ph.D. in Computer Science specializing in data engineering and problem solving from the École Nationale Supérieure de Mécanique et d’Aérotechnique (ENSMA) in France, under a joint supervision arrangement with the École nationale Supérieure d’Informatique (ESI) in Algeria. She collaborates with CITADEL’s scientific team for the development of data mining and extraction approaches using hospital systems, as well as the application of new technologies and machine and deep learning methods for medical health research projects. 

Chantal Roy

Data Specialist

Chantal Roy holds a master's degree in epidemiology and an MBA in bio-industry management. She is an experienced manager who has worked for over 20 years in the field of clinical research. She was project manager in the context of multicenter clinical studies in various therapeutic areas. She continued her career as a research unit operations manager offering expertise in methodology, biostatistics and applied informatics. She recently contributed to the launch of an artificial intelligence group applied to acute care of children. For the past ten years, she has been teaching as a lecturer at the School of Public Health at the University of Montreal.  

Kip Brown, MPAff

Operation manager
Co-founder of CITADEL

Kip Brown earned a Master of Public Affairs with a major in health and social policy from the LBJ School of Public Affairs at the University of Texas. With more than ten years of experience as a healthcare consultant, Kip specializes in data extraction, management and analysis. Most of his work has involved the analysis of healthcare data in real situations. At CITADEL, he also specializes in shifting from ad hoc data analyses to systematic, structured and reproducible processes. Kip is also interested in causal inference and natural language processing.   

Yue Qi

Senior data scientist

Yue Qi obtained his PhD in optical engineering from the School of Electrical and Electronic Engineering at University College Dublin, Ireland, where he acquired expertise in the modeling and characterization of various photopolymer materials. He then continued his research in the field of biophysics at McGill University. To deepen his skills, he also completed a program in data science at the same university. Currently, Yue holds the position of Data Scientist at CITADEL, where he focuses mainly on medical data analysis, machine learning and deep learning techniques, with a particular emphasis on medical imaging and healthcare.

François Harvey, DESS

Co-founder of CITADEL and Team manager

With a degree in biochemistry from Université Laval, François gained more than 9 years of experience in veterinary laboratory test development before completing his specialization in bioinformatics in 2011 at UQAM. He has since practised as a data analyst, database manager, system administrator and bioinformatician in the human and animal medicine and health informatics sectors. In particular, he developed several diagnostic tests for circovirus and porcine influenza; worked on the development of a clinical and genetic prediction model for complications of type 2 diabetes; worked as a consulting bioinformatician for the CRCHUM’s bioinformatics platform; and developed and maintained various database systems and work servers for several teams.  

Michael Yu, Ph. D.


Michael Yu holds a Ph. D. in Behavioural Decision Research from Carnegie Mellon University and trained in biomedical ethics at McGill University. His early work focused on evidence-based decision making for the US National Institute for Occupational Safety and Health, the Federal Communications Commission, and the US Army Research Laboratory. His recent work examines statistical analysis combined with economic, psychological, and decision analysis approaches in research projects, with a view to improving ethics review processes, evaluating ethical recruitment procedures and assessing informed consent in medical research.  

Alina Dyachenko, M. Sc.


Alina Dyachenko holds a master’s degree in statistics from the Université de Montréal. She has experience in academia and pharmaceuticals, in advanced analytical programming and in statistical modelling. She has a strong background in statistical methodology and data management techniques. Her area of expertise includes advanced multivariate modelling, longitudinal data analysis, survival analysis (Cox model with fragility, repeated time events), generalized linear model, Bayesian model selection, data clustering, regression tree, latent class analysis, meta-analysis, parametric statistical non-analysis, randomized clinical trials, methods for handling missing data, as well as development and validation of survey instruments. She also has extensive experience in the management and analysis of hospital and provincial administrative databases. 

Roy Nitulescu, MA


Roy Nitulescu holds a bachelor’s degree in mathematics and statistics and a master’s degree in economics. Currently a statistician and programmer for CITADEL, he has been working in the field of quantitative sciences for over a decade. His main fields of interest are Bayesian methods and data visualization. His expertise in statistics and economics allows him to support researchers in all stages of their projects, including protocol development, data analysis, and writing and editing articles for publication.  

Claude Kauffman, Ph. D.

Specialist in image processing

Claude Kauffman holds a Ph.D. in electrical engineering from the Institut Polytechnique de Lorraine, Nancy, France. In addition, he completed a post-doctoral fellowship in Quebec, where he was a visiting professor at the École de technologie supérieure. He has been developing his research work for more than 20 years in the field of digital image processing and more specifically in the context of medical imaging. He previously worked at the Centre hospitalier de l’Université de Montréal before joining the CITADEL team in 2019.   

Maxime Caron

Bioinformatician and Team Manager

Maxime Caron holds a master's degree in bioinformatics from the Université de Montréal and a doctorate in human genetics from Mcgill University. He has over 10 years' professional experience in genomic and epigenetic data analysis. He previously worked at the Génome Québec and McGill University Innovation Center (MUGQIC) on the development of sequencing data analysis pipelines, and at the CHU Sainte-Justine research center on precision medicine projects applied to pediatric cancers. He joined the CITADEL team in 2022 as a bioinformatician within the genomics platform.

François-Christophe Marois-Blanchet, M. Sc.

Data scientist, bioinformatician

François-Christophe Marois-Blanchet holds a master’s degree in biology from the Université Laval. His primary areas of interest are data science and computer science, and he has completed a specialized graduate degree (DESS) in bio-informatics at the Université du Québec à Montréal. François Marois has more than 8 years of experience at the CHUM Research Centre and Sainte-Justine Hospital. Within the CITADEL team, François acts as data analyst and assists with system administrator duties. 

Marie-Noël Nadeau, BA

Access office coordinator

Marie-Noël Nadeau holds a bachelor’s degree in administration. With a background in the Government Affairs Department of the Spectra team, she has worked at the Centre hospitalier de l’Université de Montréal for 13 years, including 10 years at the CRCHUM. She has also provided logistical support for several research and health science groups, including the Canadian Critical Care Trials Group as well as the Chair of Transfusion Medicine of the Université de Montréal. She acts as administrative support for CITADEL. 

Jeffrey Li

Data specialist

Jeffrey Li holds a bachelor's degree in software engineering from Concordia University. Passionate about programming and healthcare, he joined the team in 2021 as an analyst specializing in computer science. He works mainly on the development of APIs and web pages, FHIR databases, and federated machine learning.

Julien Lévesque

Senior data scientist

With a degree in electrical engineering from ÉTS, my role is to design, develop and maintain complex data management systems to ensure that information is collected, stored and analyzed efficiently and securely. I use a variety of technologies to process large datasets, create data pipelines and implement analytics solutions to help organizations make better, more informed decisions.

Paule Bodson Clermont

Senior Biostatistitian and Team Manager

Paule Bodson-Clermont joined the CHUM research center as a biostatistician in 2014, where she specializes particularly in randomized clinical study planning and experimental design. In 2015, she completed a master's degree at Université de Montréal, in conjunction with Hydro-Québec's research institute. Her thesis presented work on modeling cavitation erosion in hydraulic turbines, using mixed law models and hierarchical clustering. Her interest in statistical consulting has led her to work in the biomedical field in disciplines as varied as cardiology, psychology, radiology and neurology.
Paule Bodson-Clermont is particularly interested in the challenges presented by the development of diagnostic tests and the application of predictive models. Trained as a classical musician, she has developed qualities such as rigor and creativity, both essential to the performing arts as well as to science.

Tarek Lajnev

Data specialist

Tarek Lajnef holds a PhD in Electrical Engineering specialized in signal processing from the École Nationale des Ingénieurs de Sfax. He then went on to do two post-docs at the Advanced Center for Sleep Studies at Sacré Coeur Hospital, University of Montreal and IVADO, Montreal. His research focuses on the use of machine and deep learning tools to analyze normal and pathological brain activity signals in humans. He joined CITADEL in 2020 as a data expert in charge of data mining tasks and the application of machine learning models on health research data.

Pedro Bordignon


Pedro Bordignon holds bachelor's and master's degrees in bioinformatics from the Université de Montréal. Before joining CITADEL, he worked as a bioinformatician at McGill's Ludmer Centre for Neuroscience Research. He has experience in data analysis of multiple "omics" technologies (e.g. Whole exome, RNA-Seq, scRNA-Seq, etc. ) as well as in general programming and statistics. He currently has the pleasure of working as a bioinformatics analyst and consultant at CITADEL. Offering support, consulting, data analysis pipeline creation and training in programming, data analysis and visualization, and bioinformatics tool implementation and use to the CHUM community and beyond. When he's not immersed in code or scientific publication, he enjoys playing sports and smiling at people.

Thanushka Padchansaram


Thanushka Panchadsaram holds a Bachelor's degree in Mathematics from McGill University and a Master's degree in Statistics from Université de Montréal. She has hospital experience in data cleansing, data visualization, frequentist and Bayesian statistical modeling. She joined the CITADEL team as a biostatistics trainee and then moved into the role of biostatistician.

Lorrie Herbault

Data specialist

With a Bachelor of Commerce degree from McGill University, Lorrie began her career in banking. Her interest in machine learning and artificial intelligence was confirmed when she participated in the AI4Good program founded by CIFAR and OSMO in the summer of 2021. She then pursued a master's degree in data science at HEC Montréal, and had the opportunity to complete a supervised project at CITADEL focusing on the prediction of emergency department admissions. She officially joined CITADEL in January 2023, and is now involved in research to improve hospital fluidity.

Louis Lalonde

Research assistant / REDCap manager

Louis Lalonde is a bioinformatics student at the Université de Montréal. For the past three years, he has held a research assistant position as a member of the CITADEL platform team. He is a full-stack developer for the Pan-Canadian Automated Clinical Trial Platform (PECA) project: a distributed clinical WEB software application based on the FHIR data standard aimed at increasing the quality, reliability and efficiency of clinical trials.
He is also administrator and developer for the CRCHUM's electronic research data collection platform: REDCap. He ensures that the platform is operational and meets the needs of research staff.
Drawing on the experience he has acquired in the various software projects he has been involved in, Louis aspires to pursue graduate studies in software engineering.

Laura Gagliano

Data Scientist

Laura Gagliano holds a PhD in biomedical engineering from Polytechnique Montréal. Her research interests focus on the development of intelligent algorithms for temporal data analysis in medicine. Throughout her academic career, she has published several scientific papers on the use of advanced electrophysiological signal processing techniques, multimodal data analysis and artificial intelligence to develop innovative tools for improving the management of epilepsy. Adept at applying machine learning algorithms, statistical testing and data visualization methods, she has developed interdisciplinary expertise at the intersection of engineering and neurological research. In 2023, Laura joined the CITADEL team, where she is responsible for developing and implementing a new database infrastructure for time series, including electroencephalography, magnetoencephalography and electrocardiography recordings.

Andrew Martins

Data Scientist

Andrew is a team member with an interest in languages, healthcare systems and data. After graduating with a degree in chemistry and computer science, Andrew began working at Novartis, holding various positions in business analysis, data warehouse management and business intelligence. His experience in business intelligence led him to the CITADEL team at CHUM, where his current projects involve providing information to the organization's key stakeholders, using data analysis methods and BI tools such as Power BI.

Students and Interns

Louis Mullie

Johann Plantin

Joel Neves Briard

Christian Vincelette

Rami Shukr

Please contact us to let us know if you are interested in doing an internship or a project with the CITADEL team.