Ka-Chun joined the Department of Computer Science at City University of Hong Kong as a faculty directly after PhD graduation in 2015. Previously, he received his B.Eng. in Computer Engineering from United College, the Chinese University of Hong Kong in 2008. He has also obtained his M.Phil. degree in the Department of Computer Science and Engineering at the same university in 2010. From 2011 to 2014, he has spent 3.5 years (2012-13 departmental average: 6 years with master degree) to finish a PhD degree in Department of Computer Science proudly under the supervision of Professor ZHANG ZhaoLei (Donnelly Centre for Cellular and Biomolecular Research) at University of Toronto . He is the first associate editor outside USA and Germany for the open-access journal, BioData Mining, from 2016. In addition, he is on the editorial board of Applied Soft Computing from 2016. With exposures to different (academic, industrial, spiritual ,and social) aspects, he hopes to strike a balance and contribute to the society by leading the Big Data Analytics Group for Genome Informatics.

Award and Achievement
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.
Education
PhD in Computer Science, University of Toronto
MPhil in Computer Science and Engineering, CUHK
BEng in Computer Engineering, CUHK
Areas of Research / Professional Expertise
Computational Biology
Bioinformatics
Evolutionary Computation
Big Data Analytics
Applied Machine Learning
Natural Computing
Computational Science
Interdisciplinary Research
Applied Data Mining
Websites