プロフィール詳細

プロジェクトを作成

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Ali A.に依頼

Canada

AI & Data Scientist | Clinical ML Across Oncology, Neuroscience & Musculoskeletal Research | PhD BME

プロフィール概要

I am an AI and Research Data Scientist with a PhD in Biomedical Engineering (McMaster University) and postdoctoral training at Mayo Clinic Arizona, currently based at St. Michael's Hospital (Unity Health Toronto). My work spans machine learning, clinical prediction modeling, and translational research across multiple disease domains — including oncology, neuroscience and neurotrauma, and musculoskeletal and bone health research. My experience includes developing and validating predictive models for traumatic brain injury outcomes, early disease detection using facial phenotyping and computer vision, prognostic modeling for neurosurgical conditions, and applied ML in oncology and osteoporosis research during my postdoctoral and doctoral work. I have led and contributed to grants from Mitacs, Brain Canada, and CQDM, and collaborate regularly with clinicians, biostatisticians, and trialists across Canadian and international institutions. Core competencies: Machine learning for clinical prediction (classification, regression, survival analysis) Computer vision and image-based phenotyping Biostatistics and epidemiological methods Scientific writing, grant development, and research design AI integration in clinical and hospital settings I take on freelance projects in statistical analysis, ML model development, research design consultation, systematic reviews, and scientific writing across oncology, neurology, orthopedics, and broader biomedical research.

専門分野

• ☆ Biostatistics
• ☆ Biological Engineering
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Python
• ☆ Matlab
• ☆ Medical Imaging/Radiology
• ☆ Magnetic Resonance Imaging (MRI)
• ☆ Medical X-Ray
• ☆ Electrocardiogram (ECG)
• ☆ Computed Tomography (CT)
• ☆ Positron Emission Tomography (PET)
• ☆ Ultrasound
• ☆ DEXA Scan
• ☆ Diagnostic Radiology
• ☆ Neuroradiology

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Feasibility Study, Scientific and Technical Research

Consulting Healthcare Consulting, Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Product Validation, Concept Development, Prototyping, Reverse Engineering

職務経験

Sessional Instructor

McMaster University

- 現在

Research Fellow

Mayo Clinic Hospital

- 現在

AI Data Scientist

St. Michael's Hospital

8月 2025 - 現在

学歴

Ph.D. (School of Biomedical Engineering)

McMaster University

9月 2020 - 6月 2024

Bachelors of Engineering

McMaster University

9月 2015 - 4月 2020

認定資格

• EIT

  Professional Engineers Ontario

  6月 2023 - 現在

出版物

JOURNAL ARTICLE

Ali Ammar, Quan Chen, Nathan Y. Yu, Libing Zhu, Yi Rong, Carlos E. Vargas (2026). Monte Carlo–based optimization of CTV‐to‐PTV margins for image‐guided VMAT prostate radiotherapy . Medical Physics.

Ali Ammar, Naseem Alsadi, Jonathan D. Adachi, Stephen A. Gadsden, Cheryl E. Quenneville (2023). A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos) . Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.

Ali Ammar, Fatemeh Jazinizadeh, Jonathan D Adachi, Cheryl E Quenneville (2023). The effect of femur positioning on dual-energy X-ray absorptiometry (DXA) measures and statistical shape and appearance modeling (SSAM) fracture risk assessments . Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine.

A. Ammar, A. Koshyk, M. Kohut, B. Alolabi, C. E. Quenneville(2023). The Use of Optical Tracking to Characterize Fracture Gap Motions and Estimate Healing Potential in Comminuted Biomechanical Models of Surgical Repair . Annals of Biomedical Engineering. Springer Science and Business Media {LLC}