Vinsensius Albert is a Senior Manager in Data Science with a decade of experience applying operations research and simulation to logistics and supply chain problems, now leading data science at American Express after senior technical roles at Grab. As a PhD candidate at NUS researching dynamic delivery slot management for attended home delivery, he blends rigorous academic methodology with hands-on industry impact, having partnered with logistics companies to deploy practical solutions. He has progressed from research scholar and graduate tutor to principal data scientist, demonstrating both technical depth in optimization and the ability to scale teams and products. Vinsensius routinely teaches operations research, supply chain engineering, and programming, which he leverages to mentor data scientists and translate complex models into operational decisions. Based in Singapore, he combines top academic honors and a Georgia Tech exchange with a pragmatic focus on real-world e-commerce delivery challenges. A less obvious strength is his sustained commitment to bridging classroom instruction and production analytics, ensuring research insights are operationalized end-to-end.
10 years of coding experience
5 years of employment as a software developer
Tembusu College
Student Exchange Programme, Student Exchange Programme at Georgia Institute of Technology
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at National University of Singapore
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