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EVENTS

Technical Sharing Session with Singapore Computer Society

IMDA’s Technical Sharing Session is a regular platform where esteemed researchers are invited to present on the latest emerging tech topics.

Date and time
LocationInfocomm Media Development Authority’s Office
L4 Communal Café

About IMDA’s Technical Sharing Session:

IMDA’s Technical Sharing Session is a regular platform where esteemed researchers are invited to present on the latest emerging tech topics, and attendees can expect to:

  • Gain invaluable insights from esteemed experts  
  • Network with like-minded technical experts
  • Uncover opportunities for collaboration and innovation

Key takeaways

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Technical sharing session

Time and location

24 July 2025, 2:30pm - 5:00pm

From this session, you would have the opportunity to unpack the following:

  • Operationalisation of safe and ethical AI in Media  
  • Application outcomes of AI Safety Testing in real-world use cases
  • Socio-technical approaches to ethical AI

Featured guests

Dr. Linda William
SPEAKER

Dr Linda William

Senior Scientist
Temasek Polytechnic

Terence Tham
SPEAKER

Terence Tham

Head of Digital
SPH Media

Jonathan Chase
SPEAKER

Jonathan Chase

Assistant Professor
SMU

Speakers

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Dr. Linda William

Dr. Linda William

Senior Scientist
Temasek Polytechnic

SPEAKER

Dr. Linda is a Senior Scientist at the School of Informatics & IT and Co-Chairperson of Enabling Technology Cluster, Temasek Polytechnic, Singapore, where she has been teaching and conducting research since 2019. Her work spans both pre-employment and adult education, with a strong focus on applied artificial intelligence.

She leads several AI-driven research projects, including a two-year initiative to develop a Smart Serious Game Analytics Engine that evaluates and enhances learner performance. This project earned the Innergy Silver Award 2022 from Singapore’s MiniAs artificial intelligence systems become increasingly integrated into critical aspects of society, ensuring their safety is no longer optional—it is essential. This work advocates for embedding AI safety principles at the core of research and development, rather than treating them as downstream concerns. By integrating safety considerations from the earliest stages of algorithm design, data selection, and model evaluation, they aim to build AI systems that are not only powerful but also aligned, transparent, and robust. This approach lays the foundation for trustworthy AI that can be reliably deployed in real-world contexts, minimizing risks and maximizing societal benefits of Education, and has been featured in international conferences and book chapters.

Dr. Linda holds a Ph.D. from Singapore Management University, a Master's from the University of Indonesia, and a Bachelor's from Bina Nusantara University. Prior to her current role, she gained extensive experience in machine learning, AI, and data science through research engagements at institutions such as the National University of Singapore (NUS), Singapore Management University (SMU), and SAP Innovation Centre.

With over 15 years of AI/ML research and more than 20 years in full-cycle IT project development—including AI applications— she specializes in Intelligent Systems, Data Analytics, Metaheuristic Algorithms, and Serious Games in Education.

Terence Tham

Terence Tham

Head of Digital
SPH Media

SPEAKER

Terence oversees the product, design and engineering teams at SPH Media as the Head of Digital. He shapes the digital future of the company with a focus on user-centric innovation and leveraging technology to drive outcomes. He is responsible for the digital transformation of how SPH media delivers news and engages audiences. He is passionate about building strong, empowered teams in a culture of continuous improvement.

Prior to his current role, he spent a decade in the San Francisco Bay Area, most recently as a principal software engineer at Twilio.

Jonathan Chase

Jonathan Chase

Assistant Professor
SMU

SPEAKER

Jonathan Chase is an Assistant Professor of Computer Science (Practice) in the College of Integrative Studies at Singapore Management University. Working at the intersection of artificial intelligence and operations research, his research work is oriented around developing machine learning-informed decision tools to tackle real world planning problems, particularly in the domains of urban computing, public safety, and supply chain resilience.

As part of SMU’s Core Curriculum, he teaches interdisciplinary courses on AI to students of all disciplines, with a focus on how the technical design of a system governs its ethical and societal impact.