I don't just theorize about AI and its risks, I also design, train and build it.
From designing transformer architectures for financial time series to graph neural networks that model financial market dynamics, my work bridges cutting-edge research with financial practical applications. My PhD research focused on deep learning for temporal networks and multimodal data, with applications published in ACL and ACM venues (see full list below).
I'm also certified in AWS (Solutions Architect, Data Analytics) and Google Cloud (Professional Data Engineer), because understanding cloud infrastructure for deploying AI is as crucial as understanding the algorithms.
Check out my Github for sample projects and apps, such as Annotated Notes, that uses AI to refine your presentation delivery, understand your content deeply, and engage your audience more effectively.
More details on my research.
During my PHD studies from 2020 to 2023, my research focused on dynamic multimodal networks, involving areas such as machine and deep learning, graph learning, time-series modelling, multimodal modelling, deep learning for design and financial applications.
My published papers include:
Learning Network-Based Multi-Modal Mobile User Interface Embeddings, by Gary Ang, Ee-Peng Lim. (2021). 26th ACM International Conference on Intelligent User Interfaces (IUI). Link
Learning Knowledge-Enriched Company Embeddings for Investment Management, by Gary Ang, Ee-Peng Lim. (2021). 2nd ACM International Conference on AI in Finance (ICAIF). Link
Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes, by Gary Ang, Ee-Peng Lim. (2022). 27th ACM International Conference on Intelligent User Interfaces (IUI). Honorable Mention award. Link
Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News, by Gary Ang, Ee-Peng Lim. (2022). 60th Annual Meeting of the Association for Computational Linguistics (ACL). Link
Learning Semantically Rich Network-Based Multi-Modal Mobile User Interface Embeddings, by Gary Ang, Ee-Peng Lim. (2022). ACM Transactions on Interactive Intelligent Systems (TiiS). Link
Investment and Risk Management with Online News and Heterogeneous Networks, by Gary Ang, Ee-Peng Lim. ACM Transactions on the Web (TWEB). Link
Learning and Understanding User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes, by Gary Ang, Ee-Peng Lim. (2022). ACM Transactions on
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks, by Gary Ang, Ee-Peng Lim (2022). 2022 IEEE International Conference on Big Data (Big Data). Link
On Predicting ESG Ratings Using Dynamic Company Networks (2023), by Gary Ang, Ee-Peng Lim (2022), ACM Transactions on Management Information Systems (TMIS). Link
Temporal Implicit Multimodal Networks for Investment and Risk Management (2024), by Gary Ang, Ee-Peng Lim (2022), ACM Transactions on Intelligent Systems and Technology (TIST). Link
Learning Dynamic Multimodal Network Slot Concepts from the Web for Forecasting Environmental, Social and Governance Ratings, ACM Transactions on the Web (TWEB). Link