Meet our Postdoctoral Fellows

Asma Ahmed

Asma Ahmed

Project Title: Preterm birth, parental socioeconomic status, and long-term educational and economic outcomes: A novel application of multi-state modeling and causal inference methods on a national longitudinal cohort over 34 years

Supervisors: Petros Pechlivanoglou, The Hospital for Sick Children, Child Health Evaluative Sciences Labs; Eleanor Pullenayegum, The Hospital for Sick Children, Child Health Evaluative Sciences Labs

"I am delighted to receive the Data Sciences Institute Postdoctoral Fellowship to support my postdoctoral training in the Child Health and Evaluative Sciences Program at the Hospital for Sick Children. The DSI Postdoctoral Fellowship will give me the flexibility to pursue my research interests and broaden my research experiences. As a DSI fellow, I will have the chance to work with an interdisciplinary team of researchers and interact with researchers from other fields to expand my professional network. This opportunity will also allow me to develop my professional and academic skills to establish myself as an independent investigator."

Madeleine Bonsma-Fisher

Project Title: Equitable prioritization of active transportation infrastructure in Canadian cities

Supervisors: Shoshanna Saxe, University of Toronto, Faculty of Applied Science & Engineering, Department of Civil & Mineral Engineering; Timothy Chan, University of Toronto, Faculty of Applied Science & Engineering, Department ofMechanical & Industrial Engineering

"Building sustainable transportation systems is one of the most important problems we face. After a decade of experiencing the combined joy and frustration of active transportation first-hand, I am thrilled to join the Data Sciences Institute to apply cutting-edge interdisciplinary techniques to a problem I care about deeply: how to support safe and equitable active transportation in cities."

Elham Moez

Project Title: Integrative multi-omics study of pulmonary nodule malignancy based on molecular, clinical, and imaging data 

Supervisors: Rayjean Hung, Lunenfeld-Tanenbaum Research Institute; Michael Brudno, University of Toronto, Faculty of Arts & Science, Department of Computer Science

"I am so honoured to receive this fellowship from the Data Sciences Institute. Through this postdoctoral fellowship, I am very excited to employ my multi-disciplinary knowledge to help advance data science related to multi-omics modeling, while addressing the imminent clinical challenge related to low-dose computed tomography screening for lung cancer based on unprecedented international data."

Sean Robertson

Project Title: New Technologies and Evaluations for Novel Accented Speech Recognition

Supervisors: Ewan Dunbar, University of Toronto, Faculty of Arts & Science, Department of French; Gerald Penn, University of Toronto, Faculty of Arts & Science, Department of Computer Science

"Thanks to the DSI Postdoctoral Fellowship I am able to challenge the assumption speech recognition is one-size-fits-all. Addressing our failings is the only way that research may move forward."

Sofia Ruiz Suarez

Sofia Ruiz Suarez

Project Title: Log Gaussian Cox process to construct spatially continuous maps of disease risk

Supervisors: Patrick Brown, University of Toronto, Faculty of Arts & Science, Department of Statistical Sciences; Prabhat Jha, University of Toronto, Dalla Lana School of Public Health

"I am very grateful for the opportunity to join the Data Sciences Institute. Through this postdoctoral fellowship I will be able to be part of an interdisciplinary project whose final aim is the creation of an open source to construct spatially continuous maps of disease risks from aggregated data. This opportunity is a great step forward for my professional career as a researcher in applied statistics."