Professor Dr. Hina Shaheen

Assistant Professor

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Biography

Hina Shaheen is an Assistant Professor in the Department of Statistics at the University of Manitoba. She specializes in biostatistics, data analysis, and computational modeling. With a focus on neuroscience applications, she employs advanced statistical techniques such as Bayesian inference and multivariate high dimensional data analysis. Her research interests also include statistical machine learning, artificial intelligence, and clinical trials. Shaheen has a strong commitment to teaching and is actively accepting graduate students to work on innovative statistical methods and their applications in various fields. Her work contributes to understanding complex data structures and advancing statistical methodologies.

Research Interests

Biostatistics Neuroscience Data Analysis Computational Modelling Artificial Intelligence Bayesian Inference Machine Learning Clinical Trials Multivariate High Dimensional Data Analysis Probability Stochastic Processes Statistical Machine Learning

Requirements for University of Manitoba

Master Program

Requirements

GPA Requirement

Required:3

IELTS

Listening

Required:6

Reading

Required:6

Writing

Required:6

Speaking

Required:6

Overall

Required:6.5

TOEFL

Listening

Required:20

Reading

Required:20

Writing

Required:20

Speaking

Required:20

Total

Required:86

Prerequisites

Baccalaureate degree in nursing or equivalent Professional registration as RN or RPN Research Methods course (min grade C+) Introductory Statistics course (min grade C+)

Application Checklist

CV/Resume
Statement of Intent (500 words)
Two letters of recommendation
Transcripts
Proof of professional registration
Criminal Record Check
Child Abuse Registry Check
Adult Abuse Registry Check

Specialization Notes

Streams include Education, Administration, or Clinical.