Adam Sorrenti
About me
I am an applied AI Scientist focused on turning rigorous research into production-ready systems. I am currently pursuing a thesis-based MSc in Computer Science at Toronto Metropolitan University as a Vector Institute Scholar, with experience spanning the industry, healthcare, public sector, and research labs. My work combines deep learning, reinforcement learning, and probabilistic modelling to solve real-world problems under practical constraints such as data sparsity, privacy, and measurable business impact. I am seeking near-term applied scientist roles where research directly informs deployed decision-making systems.
Highlights
- Education: MSc in Computer Science (Artificial Intelligence), Toronto Metropolitan University (thesis-based)
- Research: Author on peer-reviewed and submitted work in applied ML (ICDE, TPAMI), including sequence-to-sequence modeling, predictive systems, and optimization
- Industry Impact: Shipped and evaluated ML systems in production environments at Intuit, Synaptive Medical, and public-sector health research initiatives
- Recognition: Vector Scholarship in Artificial Intelligence (2023–24); multiple academic excellence and merit-based awards
- Focus Areas: Applied ML research, deep learning, reinforcement learning, NLP, privacy-aware and data-limited learning
