Ph.D, P.Eng, SMIEEE
I am Masoud Makrehchi, a researcher, educator, and team leader with deep expertise in Artificial Intelligence, Machine Learning, and Natural Language Processing. Since starting my PhD at the University of Waterloo (2002) and finishing in 2007, I’ve built a career that spans both academia and industry, striving to link rigorous theory with meaningful real-world impact.
My current scholarship and investigations center on:
Large Language Models (LLMs) & Generative AI — exploring their capacities, behaviors, and limits
Responsible AI & Ethics — balancing innovation with safeguarding fairness, interpretability, accountability
Natural Language Processing (NLP) — work in text representation, entity extraction, taxonomy induction
AI/ML Applications in Legal & Financial Domains — applying models to contracts, legal text analytics, finance
Moral AI Agents & Algorithm Design — embedding normative behavior or constraints in autonomous systems
As a professor and mentor, I have guided graduate and undergraduate students toward impactful research, emphasizing both theoretical rigor and application relevance.
I serve as an advisor and research collaborator in both academic and industry settings, helping bridge the gaps between scientific insight and product deployment.
My publication record includes peer-reviewed papers, conference presentations, and invited works. I also contribute to surveys, toolkits, and curated reading lists, helping advance community resources in ML and NLP.
I maintain a public platform sharing reading lists, tools, and reflections (e.g. LLM reading list, ML surveys) to encourage open discourse and resource sharing.
From my vantage point, working with generative models is not just a technical challenge but a moral and societal one. I approach every line of code, every model experiment, and every collaboration through a lens of responsibility — hopeful about the future of AI, but vigilant about its limits and risks.
I view my role as a connector: between students and ideas, between academia and industry, and between innovation and ethics. My aim is to contribute to AI systems and knowledge that are not only advanced but also socially beneficial, transparent, and aligned.
