I am currently a machine learning developer at SAP Innovation Center Network (ICN) in Singapore. My project at ICN is Cash Application, where we try to automate enterprise financial accounting processes using machine learning. Cash Application is an integral part of the SAP Leonardo digital innovation ecosystem that enables the intelligent enterprise.
From January 2013 to May 2017, I was a Ph.D. student 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. I am generally interested in applying methods in AI and machine learning combining with spatiotemporal data analytics to solve real-world problems in urban computing. Check out my comprehensive list of projects.
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 full lists of publications at DBLP and Google Scholars.
Prior to that, I had obtained my bachelor’s and master’s degree from the Nanyang Technological University (NTU) in 2009 and 2012, respectively. I did a winter internship in 2009 at the Hochschule für Technik Rapperswil (HSR) in Switzerland as a software engineer, where I worked on a refactoring plug-in for Eclipse CDT. During 2010-12, I worked for the university as a research staff under Ning Chen. In the summer of 2012, I interned at Wunderman, Singapore as a data analyst.
Originally from the South of Vietnam, I have lived in 4 different countries and visited 28 countries in the world. When not behind the computer screen, I am an avid traveler and adventurer. I am excited about the prospects of artificial intelligence (AI) and its applications to enhance our lives and augment human abilities. I am also interested in applying AI and data science to solve problems of social good.
From time to time, I would give public talks on topics I’m passionate about such as machine learning, data science, and travel. Here are a list of my public talks in reverse chronological order:
- March, 2018 at FOSSASIA 2018: Machine Learning for Smart Cities. [slides] [video]
- January, 2018 at SG Travel Cafe: Zanzibar: Sun, Sand, Spice (and History). [blog post] [slides]
- January, 2017 at SG Travel Cafe: Ecuador – The Quilotoa Loop & Montañita “Mosquito Coast”. [blog post] [slides] [photo essay]
- April, 2016 at Python User Group Singapore: Reinforcement Learning Using Python (with Applications). [short video] [long video] [slides] [code]
- March, 2015 at Heinz College (CMU, Pittsburgh): Introduction to Social Network Analysis. [slides]
- March, 2014 at R User Group (Singapore): Hidden Markov Models & Applications Using R. [blog post] [slides] [code]
- July, 2013 at Science Café SG: Brief Introduction to Network Science. [slides]