After completing his PhD with Griffith University, Xun (or Alex) joined VAPAR to work on new developments in the computer vision and AI space and we are very proud to have him as part of our team. To share a little more about Xun, we asked him to answer some questions that illuminate the personality behind the talent.
Tell us a bit about your background and how you came to join VAPAR?
XY: Before joining VAPAR, I was a Machine Learning/Computer Vision Research Engineer with Griffith University. In collaboration with Australian Bay Lobster Producers Ltd (ABLP), I developed and deployed new artificial intelligence technologies that optimize farm production [read more here]. After working in academia for around 8 years (including my PhD study), I decided to make the jump to industry and join VAPAR as a Data Scientist. VAPAR is an exciting, growing company that aims to change an industry with new AI technology. I am proud to now be a part of that.
Where did your interest in deep learning come from?
XY: Deep learning really shines when it comes to complex problems such as computer vision, natural language processing, and speech recognition. As a researcher in computer vision and image processing, I have witnessed how deep learning dominates over classic machine learning in the last 10 years. I strongly believe, with the trend of digital transformation, more and more traditional industries will be reshaped by deep learning.
What are your interests outside of work?
XY: I usually spend my leisure time reading books or playing basketball. Watching movies and listening to music can help me unwind from a stressful day.
If you could go back and relive a moment in your life, what would it be?
XY: Well, it would be my university days when I met most of my best friends.
For more information about the latest developments at VAPAR, you can connect with Xun on Linkedin here, or reach out to us via our Contact page.
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