Natural Language Processing and Deep Learning Researcher
Data and Applied Scientist, Microsoft, USA
Applied Machine Learning, Deep Learning
Text-to-SQL, Semantic Parsing, Question Answering, Multi-step Reasoning, Dialogue Systems, Information Extraction, Natural Language Understanding
Automatic Speech Recognition, Acoustic Factor Adaptation, Noise Robustness, Model-based Adaptation
I am a Data and Applied Scientist at Microsoft. I did my PhD at the department of Computer Science, National University of Singapore, under the supervision of Prof Hwee Tou Ng. My research interests are primarily in Applied Machine Learning and Deep Learning. My PhD thesis is focused on Neural Network-based Question Answering (QA) systems. In the starting years of my PhD, I also worked with Dr. Khe Chai Sim (now in Google).
2014-2020: Doctor of Philosophy (PhD), Computer Science
2010-2014: Bachelor of Engineering, Electronics and Telecommunication
2019-Present: Microsoft, Redmond, USA.
2018: Research Intern, Allen Institute for Artificial Intelligence, Seattle, USA.
2015: Student Research Intern, Jelinek Summer Workshop of Speech and Language Technology, University of Washington, Seattle, USA.
See the full publication list in my Google Scholar.
Spring 2015: Software Testing (CS4218)
Fall 2015: Data Structures and Algorithms I (CS1020E)
Spring 2016: Software Testing (CS4218)
Fall 2016: Programming Methodology (CS1101S)
Spring 2017: Data Structures and Algorithms I (CS1020 & CS1020E)