Dr. Ka-Chun WongBased in Kowloon Tong, Hong Kong
Ka-Chun Wong is a professor at City University of Hong Kong. He finished his PhD degree in Department of Computer Science at University of Toronto (where modern AI was popularized in 2010s ) within 3.5 years (2012-13 departmental average: 6 years after master degree) by the end of 2014, after his RGC-funded MPhil degree. He is merited as the youngest associate editor as well as first ever outside USA and Germany for the open-peer-review journal, BioData Mining, in 2016. He is also on the editorial board of Applied Soft Computingsince 2016. He was invited as the plenary/keynote speakers for ICBCB 2017, ISACIT 2018, DSIT 2019, and IC-LYCS 2019. In addition, he has solely edited 2 books published by Springer and CRC Press, attracting 30 peer-reviewed book chapters around the world (i.e. Argentina, Australia, Belgium, Brazil, China, Egypt, France, Germany, Hong Kong, India, Japan, Spain, amd USA). In 2017 and 2018, he has single-authored DNA motif informatics published on Bioinformatics and iScience with CityU affiliation, demonstarating solid examples for his PhD students at CityU. After that, he led his CityU team to pursue the direction further as published on Nucleic Acids Research (2017 IF=11.6) with CityU affiliation in 2019.
Award and Achievement
• 2019 “ACM Distinguished Speaker ” (2019-2022, 1st in Hong Kong), ACM, US.
• 2018 “General Research Fund” (57 out of 175 CS professors), RGC, Hong Kong.
• 2017 “General Research Fund” (56 out of 188 CS professors), RGC, Hong Kong.
• 2016 “Early Career Scheme” (Largest 2016 ECS in CS area), RGC, Hong Kong.
• 2015 “Assistant Professorship” CS, Cty University of Hong Kong.
• 2015 “Doctor of Philosophy” CS, University of Toronto.
• 2013 “Acres - Joseph Yonan Memorial Fellowship” CS, University of Toronto.
• 2012 “Kwok Sau Po Scholarship” SGS, University of Toronto.
• 2012 “Acres - Joseph Yonan Memorial Fellowship” CS, University of Toronto.
• 2011 “International PhD Funding Package” CCBR, University of Toronto.
• 2010 “Provost Award” KAUST.
• 2008 “RGC Postgraduate Studentship” The Chinese University of Hong Kong.
• 2007 “Dean List” Engineering, The Chinese University of Hong Kong.
• 2007 “Chiu Fuk San Prize” United College, The Chinese University of Hong Kong.
• 2005 “Multiple Scholarships for HK A-level” Concordia Lutheran School.
• 2004 “Championship ” Computer Game Concept Competition by Sha Tin IVE.
• 2003 “Multiple Scholarships for HKCEE” Concordia Lutheran School.
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Disruptive AI Technologies for Molecular Biology and Medicine: DNA Motifs, CRISPR-Cas9 Off-Targets, and Cancer Screening from Blood
In this talk, I will present my research group contributions in bioinformatics and health informatics in recent years. In particular, the unconventional and disruptive AI technologies are...
- Machine Learning for High-Impact Applications: Pattern Recognition in Mammalian DNA Motifs and Human Gene Editing Off-Target PredictionsIn this talk, I will present my research group’s recent advances in machine learning for biological complex systems. In particular, we will focus on two pattern recognition...
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- Machine Learning for High-Impact Applications: Pattern Recognition in Mammalian DNA Motifs and Human Gene Editing Off-Target Predictions