I am currently a Senior Data Scientist at Credit Suisse AG (a UBS Group company) in private banking IT, where I develop a variety of machine learning solutions to key financial risk and control topics such as entity resolution, data mastering and knowledge graph for transaction monitoring. Before that, I worked at Agoda (a Booking Holdings) company, where I solved the property mapping problem that matches duplicate properties across different suppliers using both structured and unstructured data.

From July 2017 to July 2019, I was a machine learning developer at SAP SE, where I worked on SAP Cash Application. The product helps enterprise customers automate the complex accounts receivable processes by matching bank statements with open invoices. More details here.

Between January 2013 and May 2017, I did a Ph.D. in Information Systems at the Singapore Management University (SMU) under the supervision of Prof. Hoong Chuin Lau. My Ph.D. dissertation focuses on a general machine learning framework to solve a diverse set of problems in urban environments, such as law enforcement and urban transportation.

During academic year 2014–15, I was an exchange Ph.D. student at Heinz College, Carnegie Mellon University (CMU) in Pittsburgh under the supervision of Dean Ramayya Krishnan and Prof. Siyuan Liu. In the summer of 2016, I did an internship at IBM Research – Singapore, where I worked on a project that predicts people’s dwell time (a.k.a. “length of stay”) non-intrusively in retail environments using real-time Wi-Fi data. Check out my lists of publications at DBLP and Google Scholars.

From time to time, I would give public talks on topics that I’m passionate about such as data science and traveling. Here are a list of my talks in reverse chronological order:

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