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Master of Science, Specialization in Translational Medicine

University of Alberta, Edmonton, Alberta

• Supervisor: Anna Lam, MD
• GPA: 3.9

Bachelor of Science, Specialization in Computing Science

University of Alberta, Edmonton, Alberta

• First Class Standing (GPA≥3.5)

Research Assistant (Machine Learning Researcher)

University of Alberta: Department of Medicine, Edmonton, Alberta

• Leading an independent research project under faculty supervision to evaluate time-series forecasting models to predict blood-glucose trajectories using medical data.
• Implemented multiple predictive algorithms including LSTM, Temporal Fusion Transformer, and gradient-boosted ensembles, improving forecasting accuracy by 34% over the naive model.
• Performing feature engineering to enhance model performance and implementing reproducible ML.
• Improve model and clinical performance using insights from up-to-date ML and health-informatics literature.
• Presented first-author findings at EASD 2025 (Vienna) and currently co-authoring a manuscript for a journal.

Frontend Developer

Zero RampUp, Remote

• Developed and deployed a React-based business website with real-time API data updates.
• Created custom React Hooks to streamline asynchronous data retrieval, improving load times by 50%.
• Worked in an Agile development team of 7, participating in sprint planning, code reviews, and stand-ups.

Intern

University of Alberta, Edmonton, Alberta

• Optimized a C-based Hex game simulation program through algorithmic refactoring and code profiling.
• Presented results to an audience of 30+ peers and faculty, demonstrating improved program performance.

Alzebdeh L, Lam A, Zhang J, Greiner. Forecasting long-range blood glucose in hospitalised type 2 diabetes patients: a comparative study of predictive modelling techniques. European Association for the Study of Diabetes (EASD)

• Location: Austria, Vienna.
• 14,000+ international conference attendees.

Alzebdeh L, Lin C. Glucose Prediction and Automated Insulin Dosing in Hospitals. Endocrinology division, University of Alberta.

• Location: Edmonton, Alberta.

ROS Developer

Autonomous Robot Driving Using Robot Operating System (ROS)

• Built ROS navigation packages in Linux enabling autonomous vehicle control and object avoidance using computer vision.
• Trained a TensorFlow Detectron2 model on manually annotated images and deployed it using Docker.
• Tools, Python, NLTK, Pandas.

NLP Developer

NLP-Based Relation Extraction & Classification

• Optimized a Naive Bayes classifier to extract and categorize semantic relationships from FewRel dataset, achieving 90% accuracy through cross-validation and text preprocessing optimization.
• Tools, Python, PyTorch, NumPy.

Computer Vision Developer

Semantic Image Segmentation on MNISTDD-RGB

• Customized a U-Net model for image segmentation on the MNIST Double Digits RGB dataset and achieved 86% accuracy.
• Tools, Python, PyTorch, NumPy.

Machine Learning Developer

Linear Regression, Neural Networks and SVM to Predict Edmonton’s Weather

• Implemented linear regression, neural networks, support vector machine (SVM) algorithms to predict temperature and precipitation using Edmonton's daily weather dataset.
• Tools, Python, Matplotlib, NumPy, TensorFlow, scikit-learn, sodapy.

Django Backend Developer

Distributed Social Networking Web App

• Built backend architecture and API integration for a distributed social networking web application in Django.
• Collaborated with a 5-member team to aggregate cross-server activity and conduct unit testing for reliability.
• Tools, Python, Django, React.

Android Developer

Habit Tracking App

• Collaborated in a team to create a social media Android app using Java, XML and Cloud Firestore.
• Implemented a map to share a post’s location, with address search and selection using Geolocation API.
• Employed JUnit for unit testing to enhance code quality and prevent bugs.