Daniel is currently the technical lead of the data science team in HP Inc. As the technical lead, Daniel collaborates with various data scientists to extend HP’s analytical capabilities and drive the adoption of data science solutions in the areas of product quality and manufacturing. In addition, he is also mentoring the data science team on industry best practices for developing and deploying data science solutions.

Prior to joining HP, Daniel began his machine learning journey as an AI apprentice in AI Singapore (AISG). Thereafter, he joined AISG as a senior engineer before assuming the position of Head, Computer Vision Hub and AI Apprenticeship Programme. During his stint with AISG, he led the development of a computer vision platform which was able to serve use cases such as social distancing monitoring, people counting and activity recognition.

Daniel graduated with a PhD in Environmental Engineering from National University of Singapore in 2019. His research focused on understanding the effects of air pollution on rainfall within the Southeast Asia region. The frequent usage of data analytics during his research inspired him to deepen his knowledge within the data science and machine learning domains.