About

Dr. Eric Tham is an experienced data science and finance professional with decade of experience in the financial industry. He mixes practicum with his personal working experience in the fintech and finance sectors.

He has a passion to groom and train the next generation of data science professionals. 

He is also a regular speaker at the local and regional data science and finance conferences, speaking at Risk.Net, AI in Finance, Strata conferences etc. 

His research interests are at the intersection of behavioural finance and AI/ML, and have been presented at the American Economics Association (AEA/AFA) meetings, Miami Behavioral Finance conference, the European Financial Management Association (EFMA) meetings, the Australasian Banking and Finance conference (ABFC) and the Risk managment conference at NUS. 

Teaching
  • CP3403: Data Mining (Level 3; SIN)
  • CP5634: Data Mining (Level 5; SIN)
  • MA1000: Mathematical Foundations (Level 1; SIN)
  • MA1580: Foundations of Data Science (Level 1; SIN)
  • MA2405: Advanced Statistical Modelling (Level 2; SIN)
Interests
Research
  • AI/ML in FInance, Asset Pricing, Behavioral Finance
Teaching
  • Data Science, Natural Language Processing, Fintech, Deep Learning
Research Disciplines
Honours
Awards
  • 2017 to 2018 - Think Forward Initiative Research grant. https://www.thinkforwardinitiative.com/research/social-media-impact-on-household-investors-and-their-stock-markets-participation
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Other research outputs
  • Tham E (2019) Ambiguous text. [Presented at the Miami Behavioral Finance Conference]. In: 10th Miami Behavioral Finance Conference, 13-14 December 2019, Miami, FL, USA

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