Liping Wei

Liping Wei

Professor, Director

Center for Bioinformatics
School of Life Sciences
Peking University
Associate Director
National Laboratory of Protein Engineering and Plant Genetic Engineering
E-mail: weilp_At_mail_dot_cbi_dot_edu_dot_pku_dot_cn
Tel: +86 10 6275 5206
Room 307
Wangkezhen Building
Peking University
Beijing, P. R. China,

Degrees, Qualifications


Ph.D. in Medical Information Sciences (now called Biomedical Informatics), Stanford University, 1994-2000

M.S. in Applied Mathematics, Brown University, 1993-1994

Undergraduate in Radio Electronics (now called Electrical Engineering and Information Systems), University of Science and Technology of China 1989-1993

Professional Experience

2004-       Professor, Director, Center for Bioinformatics, Peking University; Associate Director, National Laboratory of Protein Engineering and Plant Genetic Engineering, Beijing, China

2011-     Investigator, National Institute of Biological Sciences, Beijing, China

2002-2004 Consulting Assistant Professor of Medicine (Biomedical Informatics), Stanford University School of Medicine, Stanford, California, USA

2001-2003 Co-founder, Chief Scientific Officer, Nexus Genomics, Inc., Mountain View, California, USA

Professional Services and Honors

Member of the Board of Directors, International Society of Computational Biology (ISCB)  2010-2013

(selected by worldwide election by members of ISCB, the largest international society for bioinformatics and computational biology with members in over 70 countries.)

Member of the Public Library of Science (PLoS) International Advisor Group  2009-

国家杰出青年科学基金  2010

中国青年科技奖  2010

Courses Taught

Methods in Bioinformatics

MOOC - Bioinformatics: Introduction and Methods

Research Interests

Develop new bioinformatics algorithms and tools for Next-Generation Sequencing (NGS) data analysis.

Identify and analyze of genomic mosaicism in non-cancer diseases and healthy individuals.

Study the genetic causes of Autism Spectrum Disorders (ASD) by the establishment of a large national cohort, phenotyping and subtyping, and Next-Generation Sequencing.