Information Box Group
Felix Ho
CANSTAT Fellow
Mentors: Peter Gill, Anna Heath, David Mazer, Naveen Poonai, and Kevin Thorpe
Research Interests: Clinical trials in pediatrics, neurodevelopmental disorders, respiratory failure, cardiovascular diseases, and Bayesian analysis.
Bio: Felix Ho completed his MSc in Biostatistics, MSc in Pharmaceutical Sciences, and PharmD at the University of Toronto. He would like to develop as a clinical biostatistician.
Felix Ho
CANSTAT Fellow
Bin Luo
CANSTAT Fellow
Mentors: Amit Garg and Lehana Thabane
Research Interests: Clinical trial design and analysis; pragmatic trials; cluster randomized trials; administrative health data; survival analysis; prediction models.
Bio: Dr. Bin Luo is a postdoctoral fellow at Western University and ICES Kidney, Dialysis and Transplantation (KDT) research program. He completed a PhD in Biostatistics at Western University. Bin has been working as a biostatistician with ICES KDT, focusing on analytics of routinely collected administrative health databases in Ontario for varieties of observational studies and pragmatic cluster randomized trials including the Dialysate Magnesium (Dial-Mag) trial, the Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP) trial and the Enhance Access to Kidney Transplantation and Living Kidney Donation (EnAKT LKD) trial.
Bin Luo
CANSTAT Fellow
Zunaira Mehmood
CANSTAT Fellow
Mentors: Shun Fu Lee and Hertzel Gerstein
Research Interests: Clinical trial design and analysis; application of deep learning and generative AI techniques to genomic data.
Bio: Zunaira holds an MSc in Biostatistics from the University of Toronto. She brings a wealth of experience in harnessing complex, high-dimensional healthcare data—including clinical, genomic, health administrative, and electronic health records—to generate actionable insights using advanced statistical methodologies and High-Performance Computing (HPC) systems. During her graduate studies, she served as a Biostatistician trainee at the Hospital for Sick Children, where she investigated pregnancy and birth outcomes among females diagnosed with childhood-onset systemic lupus erythematosus (cSLE) in Ontario. Zunaira has also co-authored cutting-edge research applying deep learning and AI-driven models to multimodal healthcare data, uncovering molecular subtypes and gene signatures associated with survival outcomes in cancer patients. Her interdisciplinary approach bridges biostatistics, machine learning, and clinical research to drive innovation in precision medicine. Zunaira is passionate about advancing clinical trial research and is dedicated to leveraging biostatistics and machine learning to drive innovation and improve health outcomes through data driven insights.
Zunaira Mehmood
CANSTAT Fellow
Shahrzad Nematollahi
CANSTAT Fellow
Mentors: Tim Ramsay and Alan Tinmouth
Research interests: Longitudinal methodologies and analyses, rare diseases epidemiology.
Bio: Shahrzad finished her PhD in Epidemiology from Tehran University in Iran, where she gained nearly 10yrs of clinical research experience in various professional positions. She joined the Ottawa Blood Disease Center (OBDC) at the Ottawa Hospital Research Institute (OHRI) in 2024 following her postdoctoral appointment at McGill University. Shahrzad is eager to expand her statistical skillset and expertise on clinical trials at OHRI to pursue her interest in the fields of clinical decision making and public health science. In her spare time, Shahrzad loves baking, knitting, and taking care of her garden plants!
Shahrzad Nematollahi
CANSTAT Fellow
Ewa Sucha
CANSTAT Fellow
Mentors: Nick Barrowman and Amy Plint
Research Interests: Clinical trials and data mining, advancing evidence-based medicine through clinical trials.
Bio: Ewa is a biostatistician at the CHEO Research Institute, where she brings a rich blend of statistical expertise to pediatric health research. She earned her M.Sc. in Biostatistics from the University of Ottawa in 2012, and began her career at ICES UOttawa working with large administrative health databases. At CHEO, Ewa has contributed to diverse research projects involving observational data, survey design, and clinical datasets. Her professional interests are rooted in clinical trials and data mining, where she thrives on translating complex data into actionable health insights.
In addition to her statistical credentials, Ewa holds a master’s degree in personality psychology from Poland, offering a unique interdisciplinary perspective to her research approach. Outside of work, she recharges through tennis matches, painting sessions, yoga practice, and globe-trotting adventures.
Ewa is driven by curiosity, collaboration, and a deep commitment to advancing evidence-based medicine through well-designed clinical trials.
Ewa Sucha
CANSTAT Fellow
Zehui Wang
CANSTAT Fellow
Mentors: Monica Taljaard and Daniel McIsaac
Research Interests: Biomarker study, precision medicine, treatment effect heterogeneity.
Bio: Zehui received her PhD in Statistics from Queen’s University, where she developed statistical methods for precision medicine, focusing on biomarker-based subgroup identification and treatment effect evaluation. She also collaborates on clinical cancer research. In her spare time, she enjoys hiking and swimming.
Zehui Wang
CANSTAT Fellow
Wensha Zhang
CANSTAT Fellow
Mentors: Wendy Parulekar and Wei Tu
Research Interests: Variable selection in high-dimensional data, machine learning applications in medical research, risk prediction models, and longitudinal data analysis.
Bio: Wensha Zhang is a biostatistician with a strong background in statistical modeling and data analysis. She recently completed her PhD in Statistics at Dalhousie University, where she worked on variable selection methods for dependent data and change point detection in evolutionary models. She also holds a Master’s in Applied Statistics from Cornell University and a Bachelor’s in Statistics from Renmin University of China. Prior to her doctoral studies, she worked as a data scientist, developing machine learning models for risk assessment and fraud detection. Her current focus is on applying rigorous statistical methods to support clinical and public health research, with a particular interest in leveraging real-world data to inform evidence-based medical decision-making.
Wensha Zhang
CANSTAT Fellow
Felix Ho
CANSTAT Fellow
Mentors: Peter Gill, Anna Heath, David Mazer, Naveen Poonai, and Kevin Thorpe
Research Interests: Clinical trials in pediatrics, neurodevelopmental disorders, respiratory failure, cardiovascular diseases, and Bayesian analysis.
Bio: Felix Ho completed his MSc in Biostatistics, MSc in Pharmaceutical Sciences, and PharmD at the University of Toronto. He would like to develop as a clinical biostatistician.
Felix Ho
CANSTAT Fellow
Mentors: Peter Gill, Anna Heath, David Mazer, Naveen Poonai, and Kevin Thorpe
Research Interests: Clinical trials in pediatrics, neurodevelopmental disorders, respiratory failure, cardiovascular diseases, and Bayesian analysis.
Bio: Felix Ho completed his MSc in Biostatistics, MSc in Pharmaceutical Sciences, and PharmD at the University of Toronto. He would like to develop as a clinical biostatistician.
Bin Luo
CANSTAT Fellow
Mentors: Amit Garg and Lehana Thabane
Research Interests: Clinical trial design and analysis; pragmatic trials; cluster randomized trials; administrative health data; survival analysis; prediction models.
Bio: Dr. Bin Luo is a postdoctoral fellow at Western University and ICES Kidney, Dialysis and Transplantation (KDT) research program. He completed a PhD in Biostatistics at Western University. Bin has been working as a biostatistician with ICES KDT, focusing on analytics of routinely collected administrative health databases in Ontario for varieties of observational studies and pragmatic cluster randomized trials including the Dialysate Magnesium (Dial-Mag) trial, the Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP) trial and the Enhance Access to Kidney Transplantation and Living Kidney Donation (EnAKT LKD) trial.
Bin Luo
CANSTAT Fellow
Mentors: Amit Garg and Lehana Thabane
Research Interests: Clinical trial design and analysis; pragmatic trials; cluster randomized trials; administrative health data; survival analysis; prediction models.
Bio: Dr. Bin Luo is a postdoctoral fellow at Western University and ICES Kidney, Dialysis and Transplantation (KDT) research program. He completed a PhD in Biostatistics at Western University. Bin has been working as a biostatistician with ICES KDT, focusing on analytics of routinely collected administrative health databases in Ontario for varieties of observational studies and pragmatic cluster randomized trials including the Dialysate Magnesium (Dial-Mag) trial, the Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP) trial and the Enhance Access to Kidney Transplantation and Living Kidney Donation (EnAKT LKD) trial.
Zunaira Mehmood
CANSTAT Fellow
Mentors: Shun Fu Lee and Hertzel Gerstein
Research Interests: Clinical trial design and analysis; application of deep learning and generative AI techniques to genomic data.
Bio: Zunaira holds an MSc in Biostatistics from the University of Toronto. She brings a wealth of experience in harnessing complex, high-dimensional healthcare data—including clinical, genomic, health administrative, and electronic health records—to generate actionable insights using advanced statistical methodologies and High-Performance Computing (HPC) systems. During her graduate studies, she served as a Biostatistician trainee at the Hospital for Sick Children, where she investigated pregnancy and birth outcomes among females diagnosed with childhood-onset systemic lupus erythematosus (cSLE) in Ontario. Zunaira has also co-authored cutting-edge research applying deep learning and AI-driven models to multimodal healthcare data, uncovering molecular subtypes and gene signatures associated with survival outcomes in cancer patients. Her interdisciplinary approach bridges biostatistics, machine learning, and clinical research to drive innovation in precision medicine. Zunaira is passionate about advancing clinical trial research and is dedicated to leveraging biostatistics and machine learning to drive innovation and improve health outcomes through data driven insights.
Zunaira Mehmood
CANSTAT Fellow
Mentors: Shun Fu Lee and Hertzel Gerstein
Research Interests: Clinical trial design and analysis; application of deep learning and generative AI techniques to genomic data.
Bio: Zunaira holds an MSc in Biostatistics from the University of Toronto. She brings a wealth of experience in harnessing complex, high-dimensional healthcare data—including clinical, genomic, health administrative, and electronic health records—to generate actionable insights using advanced statistical methodologies and High-Performance Computing (HPC) systems. During her graduate studies, she served as a Biostatistician trainee at the Hospital for Sick Children, where she investigated pregnancy and birth outcomes among females diagnosed with childhood-onset systemic lupus erythematosus (cSLE) in Ontario. Zunaira has also co-authored cutting-edge research applying deep learning and AI-driven models to multimodal healthcare data, uncovering molecular subtypes and gene signatures associated with survival outcomes in cancer patients. Her interdisciplinary approach bridges biostatistics, machine learning, and clinical research to drive innovation in precision medicine. Zunaira is passionate about advancing clinical trial research and is dedicated to leveraging biostatistics and machine learning to drive innovation and improve health outcomes through data driven insights.
Shahrzad Nematollahi
CANSTAT Fellow
Mentors: Tim Ramsay and Alan Tinmouth
Research interests: Longitudinal methodologies and analyses, rare diseases epidemiology.
Bio: Shahrzad finished her PhD in Epidemiology from Tehran University in Iran, where she gained nearly 10yrs of clinical research experience in various professional positions. She joined the Ottawa Blood Disease Center (OBDC) at the Ottawa Hospital Research Institute (OHRI) in 2024 following her postdoctoral appointment at McGill University. Shahrzad is eager to expand her statistical skillset and expertise on clinical trials at OHRI to pursue her interest in the fields of clinical decision making and public health science. In her spare time, Shahrzad loves baking, knitting, and taking care of her garden plants!
Shahrzad Nematollahi
CANSTAT Fellow
Mentors: Tim Ramsay and Alan Tinmouth
Research interests: Longitudinal methodologies and analyses, rare diseases epidemiology.
Bio: Shahrzad finished her PhD in Epidemiology from Tehran University in Iran, where she gained nearly 10yrs of clinical research experience in various professional positions. She joined the Ottawa Blood Disease Center (OBDC) at the Ottawa Hospital Research Institute (OHRI) in 2024 following her postdoctoral appointment at McGill University. Shahrzad is eager to expand her statistical skillset and expertise on clinical trials at OHRI to pursue her interest in the fields of clinical decision making and public health science. In her spare time, Shahrzad loves baking, knitting, and taking care of her garden plants!
Ewa Sucha
CANSTAT Fellow
Mentors: Nick Barrowman and Amy Plint
Research Interests: Clinical trials and data mining, advancing evidence-based medicine through clinical trials.
Bio: Ewa is a biostatistician at the CHEO Research Institute, where she brings a rich blend of statistical expertise to pediatric health research. She earned her M.Sc. in Biostatistics from the University of Ottawa in 2012, and began her career at ICES UOttawa working with large administrative health databases. At CHEO, Ewa has contributed to diverse research projects involving observational data, survey design, and clinical datasets. Her professional interests are rooted in clinical trials and data mining, where she thrives on translating complex data into actionable health insights.
In addition to her statistical credentials, Ewa holds a master’s degree in personality psychology from Poland, offering a unique interdisciplinary perspective to her research approach. Outside of work, she recharges through tennis matches, painting sessions, yoga practice, and globe-trotting adventures.
Ewa is driven by curiosity, collaboration, and a deep commitment to advancing evidence-based medicine through well-designed clinical trials.
Ewa Sucha
CANSTAT Fellow
Mentors: Nick Barrowman and Amy Plint
Research Interests: Clinical trials and data mining, advancing evidence-based medicine through clinical trials.
Bio: Ewa is a biostatistician at the CHEO Research Institute, where she brings a rich blend of statistical expertise to pediatric health research. She earned her M.Sc. in Biostatistics from the University of Ottawa in 2012, and began her career at ICES UOttawa working with large administrative health databases. At CHEO, Ewa has contributed to diverse research projects involving observational data, survey design, and clinical datasets. Her professional interests are rooted in clinical trials and data mining, where she thrives on translating complex data into actionable health insights.
In addition to her statistical credentials, Ewa holds a master’s degree in personality psychology from Poland, offering a unique interdisciplinary perspective to her research approach. Outside of work, she recharges through tennis matches, painting sessions, yoga practice, and globe-trotting adventures.
Ewa is driven by curiosity, collaboration, and a deep commitment to advancing evidence-based medicine through well-designed clinical trials.
Zehui Wang
CANSTAT Fellow
Mentors: Monica Taljaard and Daniel McIsaac
Research Interests: Biomarker study, precision medicine, treatment effect heterogeneity.
Bio: Zehui received her PhD in Statistics from Queen’s University, where she developed statistical methods for precision medicine, focusing on biomarker-based subgroup identification and treatment effect evaluation. She also collaborates on clinical cancer research. In her spare time, she enjoys hiking and swimming.
Zehui Wang
CANSTAT Fellow
Mentors: Monica Taljaard and Daniel McIsaac
Research Interests: Biomarker study, precision medicine, treatment effect heterogeneity.
Bio: Zehui received her PhD in Statistics from Queen’s University, where she developed statistical methods for precision medicine, focusing on biomarker-based subgroup identification and treatment effect evaluation. She also collaborates on clinical cancer research. In her spare time, she enjoys hiking and swimming.
Wensha Zhang
CANSTAT Fellow
Mentors: Wendy Parulekar and Wei Tu
Research Interests: Variable selection in high-dimensional data, machine learning applications in medical research, risk prediction models, and longitudinal data analysis.
Bio: Wensha Zhang is a biostatistician with a strong background in statistical modeling and data analysis. She recently completed her PhD in Statistics at Dalhousie University, where she worked on variable selection methods for dependent data and change point detection in evolutionary models. She also holds a Master’s in Applied Statistics from Cornell University and a Bachelor’s in Statistics from Renmin University of China. Prior to her doctoral studies, she worked as a data scientist, developing machine learning models for risk assessment and fraud detection. Her current focus is on applying rigorous statistical methods to support clinical and public health research, with a particular interest in leveraging real-world data to inform evidence-based medical decision-making.
Wensha Zhang
CANSTAT Fellow
Mentors: Wendy Parulekar and Wei Tu
Research Interests: Variable selection in high-dimensional data, machine learning applications in medical research, risk prediction models, and longitudinal data analysis.
Bio: Wensha Zhang is a biostatistician with a strong background in statistical modeling and data analysis. She recently completed her PhD in Statistics at Dalhousie University, where she worked on variable selection methods for dependent data and change point detection in evolutionary models. She also holds a Master’s in Applied Statistics from Cornell University and a Bachelor’s in Statistics from Renmin University of China. Prior to her doctoral studies, she worked as a data scientist, developing machine learning models for risk assessment and fraud detection. Her current focus is on applying rigorous statistical methods to support clinical and public health research, with a particular interest in leveraging real-world data to inform evidence-based medical decision-making.