{"id":7780,"date":"2023-01-19T11:34:02","date_gmt":"2023-01-19T16:34:02","guid":{"rendered":"https:\/\/www.crmath.ca\/?post_type=page-calendrier&#038;p=7780"},"modified":"2023-01-23T12:45:16","modified_gmt":"2023-01-23T17:45:16","slug":"organizersspeakersbpeda","status":"publish","type":"page-calendrier","link":"https:\/\/www.crmath.ca\/en\/page-calendrier\/organizersspeakersbpeda\/","title":{"rendered":"Organizers and speakers"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1420.64px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:0px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><h3 id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><strong><span class=\"Y2IQFc\" lang=\"en\">Organizers:<\/span><\/strong><\/h3>\n<p><strong>Dr Erica Moodie<\/strong> is a Professor of Biostatistics at McGill University and a Canada Research Chair (Tier 1) in Statistical Methods for Precision Medicine. She also holds a chercheur de merite career award from the Fonds de recherche du Quebec-Sante. She is the 2020 recipient of the CRM-SSC Prize in Statistics and an Elected Member of the International Statistical Institute. Her main research interests are in causal inference and longitudinal data with a focus on precision medicine.<\/p>\n<p><strong>Dr Michael Wallace<\/strong> is an Associate Professor at the University of Waterloo. Their research focuses on precision medicine and dynamic treatment regimes, developing new methodology to identify treatment decision rules based on patient-level data. More broadly, they study the effects of assumption violations in causal inference problems, with a particular focus on measurement error.<\/p>\n<h3 id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><strong><span class=\"Y2IQFc\" lang=\"en\">Speakers:<\/span><\/strong><\/h3>\n<p>The speakers in this session represent a diverse group of outstanding researchers, covering both methodological and applied interests.<\/p>\n<p>The meeting will open with <strong>Dr Rubab Arim <\/strong> and <strong> Dr Evelyne Bougie <\/strong>from <strong>Statistics Canada\u2019s Social Analysis and Modeling Division<\/strong>, who will discuss the Disaggregated Data Action Plan and ongoing international discussions about best practices for standards (covering topics such as, for example, what groups may be meaningfully combined).<\/p>\n<p><strong>Dr AJ Lowik <\/strong>is the Gender Equity Advisor with the Centre for Gender and Sexual Health Equity. Dr Lowik is a trans health researcher; they developed the Sex and Gender in Methods &amp; Measurement Toolkit.<\/p>\n<p><strong>Dr Irene Chen <\/strong>is an incoming Assistant Professor at UC Berkeley and UCSF with joint appointments in Computational Precision Health and Electrical Engineering and Computer Science. Her research interests include ethical machine learning in healthcare.<\/p>\n<p><strong>Dr Emma Pierson <\/strong>is an Assistant Professor of Computer Science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, whose research interests lie in using machine learning methods to study inequality and healthcare.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"author":6,"template":"","class_list":["post-7780","page-calendrier","type-page-calendrier","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/page-calendrier\/7780","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/page-calendrier"}],"about":[{"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/types\/page-calendrier"}],"author":[{"embeddable":true,"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":3,"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/page-calendrier\/7780\/revisions"}],"predecessor-version":[{"id":7846,"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/page-calendrier\/7780\/revisions\/7846"}],"wp:attachment":[{"href":"https:\/\/www.crmath.ca\/en\/wp-json\/wp\/v2\/media?parent=7780"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}