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ANITA BROBBEY

Doctoral Candidate

Anita Brobbey is a doctoral candidate in biostatistics in the Department of Community Health Sciences, University of Calgary. She received her B.Sc (First Class Honors) in Mathematics from Kwame Nkrumah University of Science and Technology, Ghana and her M.Sc. in Statistics from Memorial University of Newfoundland before starting her PhD in 2016. Her area of research expertise includes methods to address variable selection, statistical methods and robust methods for the analysis of longitudinal data. Her PhD thesis involves the development of robust discriminant analysis models for identifying and describing the differences between population groups in multivariate repeated measures design.

 

Anita enjoys teaching statistics and has instructed various introductory statistics courses to students physical sciences, business, arts, and health sciences. She has served in several student leadership capacities including being a student representative on the Department of Community Health Sciences Graduate Education Committee (2017-2019) and program co-chair for the Canadian Statistics Students national conference held in Calgary in 2019. She is currently the national secretary of the Student and Recent Graduate Committee (SARGC) section of the Statistical Society of Canada

 

Anita is a is a research analyst with the Alberta Children’s Hospital Department of Paediatrics where she provides statistical support for the Canadian Childhood Nephrotic Syndrome Study.  

Todd Wilson, MSc

Doctoral Candidate

Todd Wilson is a PhD candidate in Epidemiology in the Department of Community Health Sciences at the University of Calgary.  He has a MSc in Epidemiology and a BSc in Actuarial Science. Todd’s MSc research developed risk prediction models for acute kidney injury following non-cardiac surgery. Prior to graduate school, Todd had worked as an actuary for 10 years in both the pension benefits and life insurance industries.  Todd is currently funded by the Roy and Vi Baay Chair in Kidney Research Award.  His work is primarily focused on statistical risk prediction tools for adverse chronic kidney disease and cardiovascular outcomes, in addition to research methods for understanding patient preferences and values towards invasive versus conservative management of heart disease.

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Meng Wang, MSc 

Statistical Analyst/ PhD Student

Meng is a doctoral student with a concentration in Biostatistics at the University of Calgary . She holds a MSc in Community Health from the Memorial University of Newfoundland and Bachelors in Mathematics from Hohai University (China). Meng currently works as a full time biostatistician with the Department of Clinical Neurosciences at the University of Calgary

 

Meng's doctoral research seeks to develop more accurate dementia prognostic risk score that integrates clinical expert knowledge with patient data for risk prediction. Using data from the University of Calgary Memoric Clinic and population Alzhiemers Disease NeuroImaging Initiative (ADNI) data of patients with mild cognitive impairments, she examines the potential use of bayesian regression models for prognostic risk score development. Meng is a recipient of the University of Calgary Cumming School of Medicine Entrance Scholarship, Harley N. Hotchkiss Doctoral Scholarship in Neuroscience, and Alberta Innovates Graduate Studentship.

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Oluwaseyi Lawal, MSc

Research Assistant/PhD Student

Oluwaseyi is a second-year doctoral student in Biostatistics in the Department of Community Health Sciences at the University of Calgary. She holds a bachelor’s degree in Mathematical Statistics from the Federal University of Agriculture Abeokuta in Nigeria and a Master’s degree in Statistics from the University of Lagos and the University of Calgary. She currently works as a research assistant providing support on several projects in sRMDA Lab, including "Precision Cardiovascular Medicine using PROMs"  and the "IMPROVE CV Care" projects

 

Seyi's doctoral research focuses on statistical methods for patient-reported outcomes in individuals with heart disease in APPROACH registry, a population-based registry of all patients who received cardiac treatment in Alberta, Canada.  Using population data obtained from the APPROACH registry, Seyi examines psychometric methodologies for capturing heterogeneity in how patients rate and respond to questions about their health and well-being. She's a recipient of several awards including the Libin Cardiovascular Institute of Alberta Doctoral Scholarship

 

She enjoys reading, cooking, and listening to music

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Ayoola Ademola, MSc

Statistical Analyst/PhD Student

Ayoola is a second-year doctoral student in biostatistics in the Department of Community Health Sciences at the University of Calgary. He obtained a Bachelors in Statistics from University of Ibadan (Nigeria) and MSc in Mathematical Statistics from Georgia Southern University at Statesboro (United States). Prior to graduate school, Ayoola has had over 10 years of professional experience in banking and credit risk analysis in Lagos Nigeria

 

Ayoola's doctoral research, which is jointly supervised by Drs Sajobi & Hildebrand, focuses on methodological issues that arise in the design of registry-based trials. In particular, he's exploring the novel approaches for using clinical and population-based registries for development of affordable and novel trial designs that can be used to answer important clinical questions. 

Ayoola is also a research analyst with PrEvention of posttraumatic contractuRes with Ketotifen 2 (PERK 2) study, an international multicenter randomized controlled trial evaluating the efficacy of ketitofen in treating elbow dislocations/contractures. 

 

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Shakiru Ayomide Alaka, MSc

Research Assistant/MSc Candidate

Shakiru Alaka is a masters student in biostatistics and health data science in the department of Community Health Sciences at the University of Calgary. He obtained a Bachelors and MSc degrees in statistics from the Ekiti State University and University of Lagos, Nigeria. His research focuses on the use of modern machine learning algorithms for developing clinical risk scores in ischemic stroke patients.

He provides statistical support to Calgary Stroke program under the supervision of Dr Sajobi. ​In his spare time, he enjoys watching documentaries, movies and European Football 

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Mubasiru Lamidi, MSc

PhD Student

Mubasiru is a PhD student in Biostatistics at the University of Calgary. He graduated with a Bachelor of Science in Statistics from University of Ilorin (Nigeria) in 2001 and MSc in Biostatistics and Applied Statistics from the University of Hasselt (Belgium) in 2007. Mubasiru has > 10 years experience practising biostatistics in Belgium, United Kingdom, and Canada. His doctoral research examines novel statistical methods for simultaneously modeling longitudinal count data and rare time-to-event outcomes with applications to colorectal cancer screening data. A recipient of several awards, Mubasiru is supported by the University of Calgary Colorectal Screening Center graduate studentship

Mubasiru currently provides ad hoc statistical support for the University of Calgary Clinical Research Unit under the supervision of Dr Sajobi 

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Samuel Babatunde, MSc

MSc Student

Samuel holds a Bachelors of Technology degree in Mathematics from Ladoke Akintola University of Technology and MSc in Statistics from University of Ibadan (Nigeria). He is currently a MSc student in the Biostatistics Program at the University of Calgary . His research focuses on bayesian variable selection methods for longitudinal interval outcome data. Prior to arriving in Canada, Samuel was a data scientist with Price Water House Coopers in Lagos, Nigeria.  

 

Samuel's MSc research is supervised by Drs Chekouo and Sajobi

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