Summary
Abeer Badawi is a multidisciplinary AI researcher and postdoctoral scholar focused on applying large language models and machine learning to mental health, digital biomarkers, and responsible AI with an emphasis on fairness, evaluation, and clinical impact. With a PhD in Computer Engineering and over eight years of applied experience spanning academia and industry, she has partnered with major clinical and support organizations (e.g., CAMH, UHN, Kids Help Phone) to translate models into tools for crisis support, agitation prediction in dementia, and large-scale LLM mental-health evaluation. She combines deep technical skills in LLMs, streaming data, and real-time health prediction with extensive teaching experience across engineering curricula. Notably, her work bridges rigorous ML benchmarks (ICML/EMNLP) with real-world deployments and stakeholder collaboration, earning competitive fellowships and industry-funded projects.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Ontario Tech University
IBM Data Science Professional Certificate
Master’s Degree communication and electronics engineering, Master’s Degree communication and electronics engineering at Arab Academy for Science, Technology and Maritime Transport
English, Arabic