Arezoo Khalili

Research Scientist @Lassonde School Of Engineering - York University

Toronto, ON, CA

Developed a Random Forest model to classify 1,800 microplastic particles, achieving 92.9% cross-validated accuracy and 92% balanced precision-recall metrics Built a Logistic Regression model for zebrafish behavior classification, reaching 98.7% accuracy on 883 data points, outperforming Random Forest and Decision Tree models Optimized model performance through data preprocessing (shuffling, scaling, handling missing values), outlier detection, and cross-validation Led data-driven research initiatives, refining analytical methodologies and securing $200K+ in funding by demonstrating the value of actionable insights Reviewed 20+ research reports, evaluating statistical models, data integrity, and analytical rigor, directly improving decision-making processes Applied statistical testing frameworks (t-tests, Shapiro-Wilk) to extract insights from behavioral datasets, ensuring data-backed research decisions & Secured $150K+ in research funding from MITACS Accelerator and the Canadian Space Agency for microplastics detection and space-deployable microfluidic sensor projects Designed a low-cost microfluidic biosensor for SARS-CoV-2 detection, demonstrating engineering innovation and cost-effective research strategies & Managed data infrastructure for sensing platform development, overseeing data collection, analysis, and insights generation to drive cost-efficient research Led cross-functional collaborations in proposal development, experiment design, and data analysis, resulting in multiple high-impact publications & Actively engaged in professional associations and presented findings at 20+ conferences and publications, fostering industry and academic connections

Amirkabir University of Technology - Tehran Polytechnic

Master's degree, Mechanical Engineering

Data Sciences Institute, University of Toronto

Machine Learning Software Certificate, Computer Science

Iran University of Science and Technology

Bachelor's degree, Mechanical Engineering

Lassonde School of Engineering - York University

Doctor of Philosophy - PhD, Mechanical Engineering