Ramtin Babaeipour Email & Phone Number

Canada

Collaborated on advanced machine learning and healthcare use cases, including:- Forecasting ED Volume and Wait Times: Developed predictive models to forecast emergency department volumes and patient wait times, enabling better resource allocation and improved patient outcomes.- Personalized Clinical Note Generation: Leveraged large language models (LLMs) to automate and personalize clinical note generation, enhancing the efficiency and accuracy of documentation in healthcare settings.- Worked closely with interdisciplinary teams to translate cutting-edge AI research into practical solutions with direct impact on healthcare delivery.

Toronto, Ontario, Canada

• Developed an advanced HPO concept recognition system for extracting Human Phenotype Ontology(HPO) terms from unstructured clinical text.• Fine-tuned models to tolerate typos and distinguish between positive and negative references inclinical notes.• Implemented semantic relationships and parent-child taxonomy structures within the system toenhance accuracy.• Engaged in prompt engineering and Retrieval Augmented Generation (RAG) techniques to improvemodel performance.• Conducted data handling and automated redaction to ensure compliance with privacy standards.• Evaluated and iteratively improved the system using public and private datasets, including de-identified clinical notes and research studies.• Utilized AWS S3 for data storage and management of large datasets.

London, Ontario, Canada

ES1050 Foundations of Engineering PracticeIntroduction to the principles and practices of professional engineering. Team-based design projects providecontext for developing research, critical thinking, and problem-solving skills along with professional behaviour.Includes elements of need recognition, conceptualisation, prototyping, and engineering design to satisfycommercial specifications. Emphasis on creativity, teamwork, time management, communication andengineering skills necessary to practice in any engineering discipline.

London, Ontario, Canada

Quantification of ventilation defects in hyperpolarized gas MRI. Utilized advanced machine learning techniques, including transfer learning, Convolutional Neural Networks (CNNs), and Vision Transformers (ViTs), to enhance the accuracy and efficiency of detecting and analyzing defects in pulmonary imaging.

London, Ontario, Canada

Strategic Innovation Commercialization: How smart companies use intellectual property and data assets to make money from ideas

Toronto, Ontario, Canada

• Developed a personalized LLM for summarizing patient-doctor conversations.• Fine-tuned open-source LLM models and compared them to third-party models.• Investigated the feasibility of specialty-level fine-tuning for clinical note generation, focusing on improvements for mental health providers.• Refined prompts for better personalization and evaluated their performance.• Utilized Google Cloud for data processing and model deployment.

Greater Toronto Area, Canada

• Developed a comprehensive ML forecasting model for predicting hourly patient volume and wait timesacross five hospital sites in the Niagara region.• Created and compared various forecasting models, including ARIMA, SARIMA, Prophet, LightGBM(LGBM), XGBoost, and Neural Prophet.• Conducted extensive Exploratory Data Analysis (EDA) to uncover underlying patterns in the data.• Implemented the entire workflow, from data handling to model training and evaluation, within theAWS SageMaker environment.

Hamadan, Iran

Classifying chest X-rays into healthy and COVID-19 affected categories using various Convolutional Neural Network (CNN) architectures. This involved training and evaluating multiple CNN models to identify distinctive features in X-ray images that differentiate COVID-19 infections from normal conditions.

Doctor Of Philosophy - Phd, Biomedical/Medical Engineering

Working on the application of deep learning techniques to enhance the analysis of hyperpolarized gas MRI for lung imaging. This work.

Bachelor'S Degree, Computer Engineering

Computer Engineering, with a specialization in Artificial Intelligence.

Mathematics