Meet Our Team

Jessica Weiss is a senior biostatistician with the Ted Rogers Computational Program. She received her training in biostatistics at Western University. Her areas of expertise include data visualization, survival analysis, and longitudinal data analysis.

Dr. Rong Huang is a biostatistician at the Ted Rogers Computational Program. She obtained her training in Epidemiology and Biostatistics at The University of Hong Kong. Her expertise lies in hypothesis testing using generalized linear models (GLMs), including linear, logistic and Poisson regression, as well as survival analysis such as Cox proportional hazards models. She is experienced in assessing associations between risk factors and outcomes, evaluating effect modification and confounding, and performing model diagnostics.

Dr. Brigitte Mueller is a senior biostatistician with the Ted Rogers Centre for Heart Research at Toronto General Hospital. She holds a PhD in Science from ETH Zurich, where she worked on land–climate interactions and the detection and attribution of climate change. Building on her experience analyzing complex, high-dimensional datasets, her current work focuses on statistical and machine learning methods in cardiac research, including prognostic modeling, risk stratification, and longitudinal data analysis.

Gloria Ho is a graduate of the MSc Biostatistics program at the University of Toronto and currently works as a Biostatistician with the Ted Rogers Computational Program. She is passionate about leveraging data to advance health research, with a particular interest in applying statistical methods to improve patient outcomes and inform evidence-based decision-making.

Marisa Signorile is a senior biostatistician at the Ted Rogers Computation Program. She obtained training in Applied Mathematics at York University and Biostatistics from the University of Waterloo. She has expertise in time-to-event and longitudinal data analysis, causal inference, and the development of R Shiny applications, dashboards, and clinical calculators.

Stephen is the Team Lead for the NCDR CathPCI registry abstractors at University Health Network. He oversees a team of data abstractors, guiding the implementation and ongoing operations of the NCDR registry. His role includes training staff, coordinating data abstraction and validation, collaborating with clinical teams to refine workflows, and supporting compliance with regulatory and policy requirements. He also assists with data collection and abstraction for the NCDR EP Device Implantation and Afib Ablation registries.

Sadia Wasik is an internationally trained physician with a strong focus on quality improvement, data-driven healthcare solutions, and patient-centered outcomes. She has been a member of TRCP since 2019 and has been contributing to PMCC, TGH through various implementation projects since 2015. In her role, Sadia has contributed to several quality improvement (QI) initiatives that bridge frontline clinical insights with system-level advancements. One such project was recognized at the 2024 American College of Cardiology (ACC) Quality Summit. Sadia has authored posters and co-authored publications, sharing valuable insights and contributing meaningfully to the broader medical community. Her work reflects a deep commitment to improving clinical processes, patient outcomes, and cardiovascular care.

Amy is a Registered Nurse who specializes in abstracting health data for the NCDR CathPCI registry. In addition to her data responsibilities, she also coordinates administrative, legal, and financial matters for the Ted Rogers Computational Program. Amy earned a Bachelor of Science in Biomedical Sciences from the University of Waterloo and a Bachelor of Science in Nursing from Nipissing University. Her professional experience spans data management, cardiology and emergency medicine research, thoracic surgery, and public health.

Zahurul serves as the Team Lead for the Chest Pain - MI registry at the Peter Munk Cardiac Centre under the Ted Rogers Computational Program and also contributes to the CathPCI registry. He holds a Master of Science in Cardiac Physiology and Pathology from the University of Manitoba and a Bachelor of Medicine degree from Bangladesh. His expertise lies in registry data abstraction and cardiac research, with a focus on myocardial infarction, interventional cardiology, heart failure and valvular heart disease. Zahurul is dedicated to advancing cardiovascular care through accurate data capture and the generation of meaningful clinical insights.

Tanzia Alam supports cross-registry operations and data abstraction for the Quality team at the Ted Rogers Computational Program.