Jun Ping is an avid researcher and engineer. He is currently a software engineer in the machine learning team at Bloomberg. There, he is involved in building up and improving many of the natural language processing (NLP) pipelines and systems, focusing on problems including sentiment analysis and topic detection.
Prior to joining Bloomberg, Jun Ping had been active in the entrepreneurship scene in his home country, Singapore. He founded several start-ups, including Jayeson Solutions, which delivers technologies and platforms to assist clients with large-scale algorithmic trading.
Parallel to his work in the industry, Jun Ping is also a keen educator. He has taught classes on information security and operating systems, both as an adjunct lecturer at Nanyang Polytechnic, and as a teaching assistant at the National University of Singapore.
Jun Ping graduated with a PhD in Computer Science from the National University of Singapore. His research thesis looked at the extraction of temporal information from free text, and how it can be applied to improve multi-document news summarization. Besides reviewing for Computing Reviews, Jun Ping had previously been invited to review for several leading conferences including COLING and IJCNLP.