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Linus Lee
VP Data Science at Aicadium (Temasek)
Linus Lee is the Vice President of Data Science at Aicadium, a position he has held since 2021 following the acquisition of BasisAI, a company he co-founded. His career includes significant experience in data science leadership roles, notably at Twitter, where he served as Head of Data Science for the Asia-Pacific region, and as an algorithmic trader at Gray Whale Capital.134
Education and Background
Linus holds a Master of Science in Statistics and a Bachelor of Science in Physics from Stanford University. His educational background supports his expertise in data science and analytics, which he has applied throughout his career.14
Contributions to Aicadium
At Aicadium, Linus is involved in developing scalable and responsible AI solutions. The company aims to leverage AI technologies to enhance business outcomes for various enterprises globally. Under his leadership, Aicadium has focused on deploying its end-to-end machine learning platform, Bedrock, which facilitates the governance and deployment of AI systems.23
Previous Ventures
Before his tenure at Aicadium, Linus played a pivotal role at BasisAI, which was established in 2018 with the goal of creating scalable AI solutions. The company gained recognition for its innovative approach to responsible AI and secured significant funding from Temasek and Sequoia India.23
Current Role
In his current role at Aicadium, Linus emphasizes the importance of ethical AI deployment and works on integrating advanced technologies to meet client needs effectively. He is also noted for advocating the use of AWS products within Aicadium's operations to ensure robust and secure AI solutions.34
For more information about Linus Lee's professional background, you can view his LinkedIn profile under the username linuslee1.4
Highlights
Was honored to present at the Temasek Tripartite Conversations this year. This yearly event brings together leaders in the unions, private sector and government. I shared about how Aicadium is leveraging AI and Computer Vision to make workplaces safer. I was also glad to get a shout out from Sec Gen of NTUC Chee Meng Ng! #everyworkermatters
Hon Weng Yip Ren Yeong Sng Choong Luen Lien Sazali Zainal Michael Zeller Gloria Lai Vanessa Walker Elizabeth Rose
There are a range of global frameworks on principles related to #AIgovernance. Globally, there is convergence around a core set of #AI principles, such as fairness, transparency and privacy. At the heart of AI governance is the visibility of machine learning models - how to make these models more interpretable and explainable. However a lack of clarity over the definitions of these principles makes it hard for businesses to implement them. Existing generic guidelines do not provide a framework for technical implementation.
Proactive governance and accountability practices are increasingly seen as a differentiating factor for businesses to brand themselves as trustworthy. For the past few weeks, we’ve been working on a whitepaper on AI Governance. In this white paper, we unpack what AI governance is and is not, and review global developments in implementation. We also discuss how automation through #MLOps enables governance-by-design, and how tech leaders can build governance cultures to accelerate AI adoption.
Comment below if you’d like a copy of the whitepaper, and I’ll share it with you directly this week.
BasisAI
