I teach and speak about what I've actually lived.
From AI governance and risk management to how AI actually works. From quantitative finance to practical investment risk management. From React frontends to Python backends. From technology to art.
I teach because explaining complex ideas simply makes me understand them better. I try to blend PhD-level understanding of AI research with real-world risk management and regulatory experience, delivered with the clarity that comes from having taught thousands of learners, from kids learning coding to CEOs of financial institutions.
I teach because explaining complex ideas simply makes me understand them better. I try to blend PhD-level understanding of AI research with real-world risk management and regulatory experience, delivered with the clarity that comes from having taught thousands of learners, from kids learning coding to CEOs of financial institutions.
Whether addressing regulators, training data scientists, or speaking to an audience of bankers, my goal remains constant: making complex ideas accessible. My approach combines academic rigor with practitioner insight, because I've been both a risk manager, a regulator writing the rules, as well as a researcher pushing the boundaries.
Topics span technical (Python to Javascript, machine to deep learning, graph neural networks to transformers) to strategic (AI governance, risk management,AI use) to unexpected (what art teaches us about algorithms).
Available for keynotes, workshops, and courses that bridge technical depth with strategic thinking.
Examples of Past Engagements:
Teaching: Nanyang Polytechnic - Machine Learning, Text Mining & Analytics (Specialist Diploma in Business and Big Data Analytics); Singapore Management University Academy - Professional Certificate in Python Programming; National University of Singapore School of Continuing and Lifelong Education (SCALE) - Data Analytics and Visualisation courses; Singapore University of Social Sciences - Web Application Development; MAS Academy - Developed and delivered AI for Finance curriculum, including deep learning for networks and multimodal data; SG Code Campus - Python programming and data science bootcamps.
Speaking & Workshops: Generative AI Seminar by Association of Banks, Singapore, 2024. Moderator at Hubbis Compliance & Regulatory Forum – Singapore 2025 on Banking and Compliance in the Age of AI; AIMA Singapore Fund Manager Briefing: AI in Finance - Market Developments, Real World Use at Morgan Stanley; FIX Information eXchange on Implications of AI in Trading
Online: Market Research × AI online course with Stephen Tracy, a leading market research expert
Slides from some past talks and courses that I have conducted.
This presentation captures some of my thoughts on how one can learn to learn
This presentation touches on how to think in AI in this age of Gen AI
This is the topic of my PHD dissertation, focusing on AI for dynamic multimodal networks
Some fundamental machine and deep learning concepts and lessons
Machine and deep learning, but focusing on tabular and network data
Machine and deep learning, but focusing on multimodal and unstructured data, as well as AI model risks