YAP Chun Wei, Ph.D.
Chun Wei is currently an Assistant Professor in the Department of Pharmacy, National University of Singapore and the principal investigator for Pharmaceutical Data Exploration Laboratory.
He received his PhD from National University of Singapore in 2006 and his postgraduate research was on
the application of machine learning approaches for the prediction of
pharmacokinetics and toxicological properties. He obtained his BSc
with first class honours in pharmacy from National University of Singapore in 2000
and has been registered as a pharmacist with the
Singapore Pharmacy
Board after completing his pre-registration training in 2001.
Previously, Chun Wei had worked as a research scientist in DSO National Laboratories and as a research fellow in the
Bioinformatics and
Drug Design (BIDD)
group, which is under the Department of Pharmacy, National University
of Singapore. He joined the BIDD group as a postgraduate student in
2001 and had been instrumental in developing computational tools
for the prediction of pharmacodynamic, pharmacokinetic and
toxicological properties of drugs. He had also been involved in the
development of several bioinformatics databases. During his
postgraduate studies, Chun Wei was awarded the President’s Graduate
Fellowship, which is given to graduate researchers who show exceptional
promise or accomplishment in research. In addition to his research
work in BIDD group, Chun Wei had close collaborations with fellow
colleagues in the Department of Pharmacy to develop CoMFA models for
DHFR inhibitors, drug-cyclodextrin binding models and a quantitative
scoring algorithm for ADR causality and severity assessment. Currently,
he has authored and coauthored
17 research papers and 9 review papers
in international
refereed journals. His areas of research include knowledge discovery and data mining, medical informatics, pharmainformatics, metabonomics, computer-aided drug design, and operations research.
Chun Wei has strong programming skills in C++ and has knowledge of
other programming languages like Java, Perl and PHP. He had created
several software for Microsoft Windows and PocketPC platforms and
had contributed several code libraries and articles in
CodeProject.
One of his major programming project is a C++ machine learning library,
YMLL, and a Windows software,
PHAKISO, which enables QSPkR/qSPkR
models to be easily constructed and validated.