Hi, I'm Gary Ang, or Ming.
I operate at an unusual intersection, and I've lived deeply with AI. Managing AI risks for the financial sector, researching it deeply during my PhD, experiencing its impact on human creativity as a practicing artist.
I'm currently leading AI supervision at MAS, focusing on AI governance and risk management, and responsible for developing frameworks for AI risk management in the financial sector. A key example of my work is MAS' Information Paper on AI Model Risk Management.
But I'm also a computer scientist who has published papers on AI in top computer science venues like ACL, a quant with years of experience in model risk management, a former investment risk head who oversaw the risks of Singapore's foreign reserves, a watercolor artist whose digital illustration work has been commissioned by Wallpaper and Tatler. I have also taught AI and data science at multiple institutions such as NUS and SMU.
The common thread across all my work is a focus on translating complexity - whether in quantitative finance, AI governance and risk management, or deep AI research.
Let's connect.
I'm always up for interesting conversations.
Reach me on LinkedIn or at gary(at)quaintitative.com.
I'm particularly interested in conversations about AI governance, strategy, and risk management, as well as their intersections with finance and art.
I'm open to collaborations, talks, and exploring opportunities that align with my interests, particularly since I am transitioning to a portfolio career in 2026.
Why Quaintitative?
The name reflects my belief that the most interesting insights emerge at intersections. The name itself is a play on 'quantitative' and 'AI', with a touch of 'quaint'. It's where I explore ideas that don't fit neatly into institutional frameworks.
More about me.
I currently lead the development of supervisory frameworks for responsible AI and AI risk management at the Monetary Authority of Singapore (MAS). Started work in this role in 2024. One of the first pieces of work I embarked on was to synthesize my past experience in model risk management with my background in AI to deliver the Information Paper on AI Model Risk Management in banks at the end of 2024.
Prior to this role, I was division head of the investment risk management division in MAS. The division of 20 helps to risk manage Singapore's multi-billion dollar foreign reserves. I was responsible for a wide range of areas - from working with the portfolio managers on asset allocations, to risk limits, inhouse risk systems, as well as managing external fund managers.
Prior to all this, I spent many years looking deeply at Basel 2, 2.5 and 3 rules for banks, as well as the equivalent rules in the capital market space. I also spent many years auditing models in banks and exchanges, ranging from credit scoring models, to market pricing and risk models, as well as margin models.
My PHD research focuses on deep learning models for networks, time series and multimodal data, with practical applications in human-computer interaction and finance. My research works have been accepted by conferences and journals such as the Annual Meeting of the Association for Computational Linguistics (ACL) and ACM Transactions on the Web, and received an honorable mention award at the ACM Annual Conference on Intelligent User Interfaces in 2022. I received the SMU Presidential Doctoral Fellowship in 2022, and also did part of my PhD on an MAS scholarship. I still review papers for conferences such as ACL, UIST, AIES (under AAAI) regularly. My research can be viewed here.
I also teach to learn to better communicate complexity. I have conducted courses on Python, Machine Learning, Data Science, AI at various institutions including NUS, SMU, SUSS.
I also illustrate and do watercolors. As an illustrator, I've received commissions from well known publications and brands such as Wallpaper, Tatler, Jetstar. My artworks can be viewed at playgrd.com.