People and Research People

People Details

Prof. LAM Yat Fai

Adjunct Professor


Research Areas

Generative AI: ChatGPT and Gemini
Cryptocurrencies and decentralized finance
Anti-money laundering and financial crime investigations

Qualifications

Chief Data Scientist, Generative AI - Strategic Data Science Limited
Academic - Doctor of Business Administration
Professional - CFA, CAIA, CAMS, CFE, FRM, PRM, MCSE, MCNE

Biography

Dr. LAM Yat Fai (林日輝) is the Chief Data Scientist, Generative AI of Strategic Data Science Limited.  He graduated from City University of Hong Kong with a Doctor of Business Administration degree and holds the CFA, CAIA, CAMS, CFE, FRM, PRM, MCSE and MCNE professional designations. Dr. LAM has worked for bank regulator, international banks and sovereign wealth fund.  He specializes in the areas of

   (i)   Generative AI: ChatGPT, Gemini and Simple TechBot (Task Expert CHatboT)

   (ii)  Cryptocurrencies and decentralized finance; and

   (iii)  Anti-money laundering and financial crime investigations.

Dr. LAM shares his simple techbots on Poe, in the capacity "Dr. Invisible MAN (問見非博士)".

   https://poe.com/drinvisman

 

Selected Recent Publications

Wong, Lam and Chung.  2020.  Anti-Money Laundering: The Banking Industry in Hong Kong.

https://www.acrc.hku.hk/Case/Detail/1040

Lam, Kwan and Lai.  2018.  Managing Credit Risk Under The Basel III Framework.

https://www.amazon.com/Managing-Credit-Under-Basel-Framework/dp/171959970X/ref=sr_1_6?keywords=lam+yat+fai&qid=1638852101&sr=8-6

Lam and LAI.  2015.  A Practitioner's Guide To Target Accrual Redemption Forwards.

https://www.amazon.com/Practitioners-Target-Accrual-Redemption-Forwards/dp/1507645244/ref=sr_1_1?keywords=lam+yat+fai&qid=1638852101&sr=8-1

Teaching Areas

EF5340 Credit Risk Management

EF5050 Derivatives and Risk Management

EF5081 Advanced Topics in Finance and Banking

EF5063 Professional Seminars in Finance

EF5473 Professional Seminars in Applied Economics