Jiguang WANG 王吉光

Jiguang WANG 王吉光 Details

Jiguang WANG 王吉光
Jiguang WANG 王吉光 

Email

Email
jgwang@ust.hk

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Google Scholar

Scopus ID

First Name (and Middle Name If Any)
Jiguang
WANG
王吉光
Highest Degree Acquired (e.g. PhD in Engineering Science)
Doctor of Natural Science in Operational Research and Cybernetics, University of the Chinese Academy of Sciences

Contact Information

Email

Email
jgwang@ust.hk

Office

Google Scholar

Scopus ID

Research Interests

Research Interests
Bioinformatics
Cancer
Cancer genomics

Biography

Biography

Prof. Wang received his Ph.D. in Applied Mathematics from Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), and won the Special Prize of President Scholarship and Excellent PhD thesis Award of CAS. Between 2011 and 2015, he was a Postdoctoral Research Scientist at Columbia University. From 2015, he was named as the Precision Medicine Fellow and promoted to an Associate Research Scientist. He established the Wang Genomics Laboratory @HKUST in 2016, focusing on the application of data science in biology and medicine. He has made substantial contributions to (1) characterization, modelling, and prediction of cancer evolution from genomics (Nat Genet 2016; Nat Genet 2017; Nat Commun 2021); (2) discovery, elucidation, and clinical application of MGMT fusion (Nat Genet 2016; Nat Commun 2020) and METex14 in adult gliomas (Nat Genet 2018; Cell 2018); (3) Discovery of MAP3K3-I441M in CCM (AJHG 2021) and elucidation of EndMT in bAVM (Circ Res 2021); (4) reconstruction of RNA Exosome-regulated non-coding transcriptomes (Nature 2014; Cell 2015). He won the Excellent Young Scientist Award of NSFC (2019), School of Engineering Young Investigator Research Award (2019), School of Science Research Award (2021), and the Zhong Nanshan Youth Science and Technology Innovation Award (2021).

 

Research Interests

Research Interests
Bioinformatics
Cancer
Cancer genomics

Biography

Biography

Prof. Wang received his Ph.D. in Applied Mathematics from Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), and won the Special Prize of President Scholarship and Excellent PhD thesis Award of CAS. Between 2011 and 2015, he was a Postdoctoral Research Scientist at Columbia University. From 2015, he was named as the Precision Medicine Fellow and promoted to an Associate Research Scientist. He established the Wang Genomics Laboratory @HKUST in 2016, focusing on the application of data science in biology and medicine. He has made substantial contributions to (1) characterization, modelling, and prediction of cancer evolution from genomics (Nat Genet 2016; Nat Genet 2017; Nat Commun 2021); (2) discovery, elucidation, and clinical application of MGMT fusion (Nat Genet 2016; Nat Commun 2020) and METex14 in adult gliomas (Nat Genet 2018; Cell 2018); (3) Discovery of MAP3K3-I441M in CCM (AJHG 2021) and elucidation of EndMT in bAVM (Circ Res 2021); (4) reconstruction of RNA Exosome-regulated non-coding transcriptomes (Nature 2014; Cell 2015). He won the Excellent Young Scientist Award of NSFC (2019), School of Engineering Young Investigator Research Award (2019), School of Science Research Award (2021), and the Zhong Nanshan Youth Science and Technology Innovation Award (2021).