Jia Meng received his bachelor degree in Electrical Engineering from Northwestern Polytechnic University in 2006. He earned his PhD in Electrical Engineering from University of Texas at San Antonio in 2011. He joined Massachusetts Institute of Technology in February 2012 as a Bioinformatician and the Supervisor of Bioinformatics Core Facility at Picower Institute for Learning and Memory. Between 2012 and 2014, he served as an Associate Scientist at Broad Institute of MIT and Harvard. He is now a Senior Associate Professor at Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, and has an honorary appointment from Institute of Integrative Biology, University of Liverpool. Jia Meng has previously worked on a wide variety of computational biology projects that aim at a systems-level understanding of gene regulation and the integration of multiple high-throughput data types and databases with advanced multivariate techniques, such as Bayesian generative modelling, sparse representation, factorization, nonparametric approaches, etc. He has authored or co-authored more than 100 peer-reviewed publications since 2008, and is now focusing primarily on epitranscriptome bioinformatics.
Research Keywords & Expertise
Bioinformatics
Machine learning and p...
Epitranscriptomics & R...
Precision medicine & p...
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Bioinformatics
Machine learning and pattern recognition
Short Biography
Jia Meng received his bachelor degree in Electrical Engineering from Northwestern Polytechnic University in 2006. He earned his PhD in Electrical Engineering from University of Texas at San Antonio in 2011. He joined Massachusetts Institute of Technology in February 2012 as a Bioinformatician and the Supervisor of Bioinformatics Core Facility at Picower Institute for Learning and Memory. Between 2012 and 2014, he served as an Associate Scientist at Broad Institute of MIT and Harvard. He is now a Senior Associate Professor at Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, and has an honorary appointment from Institute of Integrative Biology, University of Liverpool. Jia Meng has previously worked on a wide variety of computational biology projects that aim at a systems-level understanding of gene regulation and the integration of multiple high-throughput data types and databases with advanced multivariate techniques, such as Bayesian generative modelling, sparse representation, factorization, nonparametric approaches, etc. He has authored or co-authored more than 100 peer-reviewed publications since 2008, and is now focusing primarily on epitranscriptome bioinformatics.
