BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20251029T170213EDT-5332dAFswb@132.216.98.100 DTSTAMP:20251029T210213Z DESCRIPTION:Join us for this Annual introduction to the research that is be ing conducted in our department. This is a wonderful opportunity for facul ty and students to meet and mingle\, and to share information about some o f the many research opportunities available. We look forward to seeing you .\n\nWhen: Monday\, September 19\, 2022\, 4 to 5:30 p.m.\n\nWhere: 2001 Mc Gill College Avenue\, Rooms 1135 - 1140\n  \n\nParticipating faculty member s:\n\nDr. Andrea Benedetti - Biostatistics\n\nAndrea Benedetti is a biosta tistician and Associate professor jointly appointed in the departments of Medicine and Epidemiology\, Biostatistics and Occupational Health. Dr. Ben edetti is an author on over 200 peer-reviewed articles. She holds operatin g funds from CIHR. She is a director of the DEPRESSD Collaboration (www.de pressd.ca). Her research interests are primarily in statistical challenges in individual patient data meta analysis with applications in depression screening and multiple drug-resistant tuberculosis.\n\nDr. Qihuang Zhang - Noisy data\, Statistical genomics\, Machine learning\, Spatial statistics \n\nWith the advance in genomics sequencing technology\, it is now feasibl e to generate genomic data while recording their spatial locations. Meanwh ile\, the availability of biomedical imaging data has substantially improv ed in recent years\, providing rich information of disease regions in tiss ues. My research program aims at combining machine learning methods and st atistical modeling to leverage the spatial information of imaging biomarke rs and genomic data. This program contains two research aims. The first ob jective is to understand the spatial relationship between imaging data and spatial genomic data. We first use machine learning methods to identify s patial biomarkers of clinical interest from biological imaging data such a s histology. Then\, statistical models\, such as the point process models\ , are developed to study the association between spatial genomic data and the identified spatial biomarkers. The second objective is to develop stat istical methods to quantify the uncertainty of the results produced from m achine learning models. We propose statistical models to address the measu rement error and misclassification that are associated with synthesis data produced by the machine learning algorithm. This research program can ena ble clinical practitioners to identify the gene set that might regulate th e location of the cells and can also be applied in oncology research to un derstand how genes influence the progression of cancer.\n\nDr. Alton Russe ll - Decision Analysis\n\nThe Decision Modeling lab aims to enable the eff icient and effective use of finite healthcare resources by developing\, as sessing\, and applying data-driven methods to inform health policy and cli nical decisions. Our interdisciplinary research uses methods from decision analysis\, simulation\, health economics\, operations research\, epidemio logy\, and data science.\n\nDr. Celia Greenwood  - Genetic Epidemiology\; Statistical Genetics Methods Development in Genetics\, Genomics and high d imensional data\n\nMy interests lie in developing methods of analysis for genetic data and for high dimensional data of various types including omic data. I have many collaborations where these methods are used for identif ying associations with various diseases and traits and identifying individ uals at risk. Recent projects include methods for development of genetic r isk scores\, analysis of DNA methylation data\, and finding outliers in hi gh dimensional data. I collaborate with researchers working on aging\, aut oimmune disease\, cognitive development and cancer.\n\nDr. Laurent Azoulay - Pharmacoepidemiology\n\nDr. Laurent Azoulay is an Associate Professor w ith a joint appointment in the Department of Epidemiology\, Biostatistics and Occupational Health (primary) and Gerald Bronfman Department of Oncolo gy\, ºÚÁÏÉç. His research program primarily focuses on the effe cts of commonly-prescribed drugs on the incidence of cancer in large popul ations\, as well as on the effectiveness and safety of cancer treatments. \n\nDr. Kristian Filion - Pharmacoepidemiology\n\nDr. Filion is an Associa te Professor in the Departments of Medicine and of Epidemiology\, Biostati stics\, and Occupational Health and a William Dawson Scholar at ºÚÁÏÉç Uni versity. He is also a Senior Investigator at the Center for Clinical Epide miology of the Lady Davis Institute of the Jewish General Hospital. His re search program is focused on pharmacoepidemiology and the use of large\, p opulation-based databases to study the effectiveness\, safety\, and utiliz ation of prescription drugs in real-world settings. The primary substantiv e area of his research is cardiometabolic conditions\, including cardiovas cular disease and diabetes. He also conducts some research in women’s heal th. Dr. Filion is a Steering Committee member of the Canadian Network for Observational Drug Effect Studies (CNODES)\, a pan-Canadian drug safety ne twork funded by the Canadian Institutes of Health Research. He is supporte d by a Senior salary support award from the Fonds de recherche du Québec – santé (Quebec Foundation for Research – Health) and was elected as a Fell ow of the American Heart Association. In addition\, Dr. Filion is involved in several systematic reviews and meta-analyses examining drug safety and effectiveness.\n\n\n Dr. Robert Platt - Pharmacoepidemiology\n\nPharmacoep idemiology is the study of use and effects of medications in large populat ions. Although medications undergo a rigorous regulatory approval process\ , clinical trials are limited in their ability to assess the use\, effecti veness\, and safety of medications in a real world setting. Pharmacoepidem iology addresses this knowledge gap through studies of drug utilization\, comparative effectiveness\, and adverse drug reactions in everyday clinica l practice\, often through the application of sophisticated epidemiologic and statistical approaches to large\, population-based databases. ºÚÁÏÉç r esearchers are at the forefront of study in areas such as cancer\, diabete s\, respiratory medicine\, and neurology\, and in methods development and evaluation.\n\nDr. Samy Suissa - Pharmacoepidemiology\n\nDr. Suissa’s rese arch is in the area of pharmacoepidemiology\, which involves studying the risks and benefits of medications in the population at large and in the re al world setting of clinical practice. He specializes in the exploitation of existing computerized health databases to rapidly evaluate these effect s. He has developed new methods of data analysis and study design that all ow more rapid and accurate assessments of drug effects. He has conducted p harmacoepidemiological studies of several medications used for the treatme nt of chronic diseases\, including asthma and COPD\, cardiovascular and rh eumatic diseases\, and women’s health issues. He has lectured extensively throughout the world\, and is the author of over 500 peer-reviewed researc h papers published in scientific journals. He leads the Canadian Network f or Observational Drug Effect Studies (CNODES)\, a team of over 60 scientis ts across the country collaborating to evaluate the effects of medications used by Canadians.\n\nProf. Mathieu Maheu-Giroux - Population Health\, In fectious Diseases\, Mathematical Modeling\n\nMathieu Maheu-Giroux is an in terdisciplinary population health scientist and he currently holds the Can ada Research Chair in Population Health Modeling (Tier 2). His work focuse s primarily on: 1) infectious disease modeling\, 2) epidemiology and measu rements\, and 3) impact and economic evaluations of public health interven tions. The overarching objective of his research is to support the develop ment of evidence-based policies and interventions to improve population he alth with an emphasis on controlling/eliminating infectious diseases. Exam ples of some ongoing projects:\n • HIV transmission among men who have sex with men in Québec\n • Cervical cancer elimination in high HIV prevalence s ettings\n • Micro-elimination of hepatitis C virus in priority populations \n • Optimizing HIV testing services to end AIDS in sub-Saharan Africa\n • I mpacts of structural drivers of HIV transmission among priority population s\n\nDr. Yassen Tcholakov - Nunavik Department of Public Health\n\nThe Nun avik Regional Board of Health and Social Services (NRBHSS) is an organizat ion dedicated to improving the health and well-being of the populations of the 14 communities on its territory. Its overall mission is to adapt the health and social service programs to the population's needs and to the re gion's realities. The Department of Public Health is responsible for manag ement of the regional public-health program. For that purpose\, it establi shes priorities\, organizes services and allocates resources. Jointly with various partners\, including the two health institutions\, the Department of Public Health ensures application of the regional public-health progra m\, which covers:\n • Health Protection\, including the areas of infectious diseases and environmental contaminants. This sector includes the identif ication of risks for the population and the deployment of the necessary re sponse measures\;\n • Disease Prevention\;\n • Health Promotion\;\n • Surveil lance of the population’s state of health and communication and awareness about health.\n\nStudents could contribute to applied public health resear ch in an intercultural context in a remote indigenous region in Canada in some of the following areas to the work of the organisation:\n • Field epid emiology\, outbreak investigation and control\;\n • Setting up\, improving and evaluating public health surveillance systems\;\n • Creation a wastewat er surveillance system\;\n • Evaluating access to clean water\;\n • Creating a Water\, Sanitation and Hygiene (WASH) surveillance system\;\n • Disease of importance: Tuberculosis\, STBBIs (especially syphilis)\, Respiratory I nfections\, Vaccine preventable diseases.\n\nDr. Natalie Dayan - Reproduct ive\, Perinatal and Pediatric Epidemiology/Clinical Epidemiology & Informa tics\n\nDr Dayan's research focuses on cardiometabolic health throughout t he puerperium\, pregnancy outcomes in women with chronic medical condition s and those who conceive with fertility therapy. She is also interested in predicting those that may be at risk for a chronic condition during pregn ancy and severe maternal morbidity\, as well as following the health of th ose affected long-term.\n\nDr. Mabel Carabali - Social Epidemiology\, Infe ctious Diseases and Global Health\n\nDevelopment and application of epidem iologic methods or methodological approaches to account for measurement er ror to improve the use of surveillance data\, methods to assess health ine qualities including decomposition and mediation analyses\, and Bayesian sp atiotemporal analyses in the context of infectious diseases\, and social d eterminants of health and health disparities.\n\n \n DTSTART:20220919T200000Z DTEND:20220919T213000Z LOCATION:2001 ºÚÁÏÉç College Avenue\, Rooms 1135 - 1140\, ºÚÁÏÉç College 20 01\, CA\, QC\, Montreal\, H3A 1G1\, 2001\, avenue ºÚÁÏÉç College SUMMARY:Research Meet & Greet URL:/spgh/channels/event/research-meet-greet-341991 END:VEVENT END:VCALENDAR