Dr. Jing Mei Li
Postdoctoral researcher
Researches
Dr. Jing-Mei Li is currently working as a postdoctoral researcher at the Institute for Genomic Statistics and Bioinformatics at the University Hospital of Bonn in Germany. She received her bachelor’s, master’s, and Ph.D. degrees in Chemical Engineering.
She is currently working on next-generation phenotyping tools as part of the GestaltMatcher project and the GestaltMatcher Database. Her research focuses on analyzing patients with Alagille syndrome, a rare genetic disorder characterized by distinctive facial features and systemic abnormalities. By leveraging advanced AI-driven facial image analysis, Dr. Li aims to explore the potential of early diagnosis and newborn screening for Alagille syndrome. Her work highlights the transformative power of machine learning in clinical genetics and underscores the importance of integrating facial phenotyping into diagnostic workflows to improve outcomes for patients with rare disorders.
Dr. Jing-Mei Li
Affiliation:
Institute for Genomic statistics and Bioinformatics - University Hospital Bonn, Germany
Curriculum vitae
11.2021 – now |
Postdoctoral Researcher, University Hospital of Bonn, Germany |
09.2017 – 08.2018 |
Visiting Scholar, Ohio State University, United States |
08.2015 – 08.2017 |
Postdoc Researcher, National Chiao Tung University, Taiwan |
11.2013 – 07.2015 |
General Foreman, R&D department, China Steel Chemical corporation, Taiwan |
07.2013 – 09.2013 |
Exchange student, Technische Universität Ilmenau, Germany |
05.2012 – 04.2013 |
Exchange student, Université de Montpellier, France |
07.2008 - 06-2013 |
PhD student in Chemical Engineering, National Tsing Hua University, Taiwan |
07.2004 - 06.2008 |
Bachelor in Chemical Engineering, National Cheng Kung University, Taiwan |
Publications
Selected publications.
GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases
Hellen Lesmann, Alexander Hustinx, Shahida Moosa, Hannah Klinkhammer, Elaine Marchi, Pilar Caro, Ibrahim M. Abdelrazek, Jean Tori Pantel, Merle ten Hagen, Meow-Keong Thong, Rifhan Azwani Binti Mazlan, Sok Kun Tae, Tom Kamphans, Wolfgang Meiswinkel, Jing-Mei Li, ..., Gholson J. Lyon, Peter M. Krawitz, Tzung-Chien Hsieh.
medRxiv, under review in Nature Genetics, June 2024
Electroless Deposition of RuO2-based Nanoparticles for Energy Conversion Applications
Jing-Mei Li, Chi-Chang Hu, Tzu-Ho Wua, and Yung-Jung Hsu
RSC Advances, 2019
TiO2-Au-Cu2O photocathodes: Au-mediated Z-scheme chargetransfer for efficient solar-driven photoelectrochemical
Jing-Mei Li and Yung-Jung Hsu
ACS Appl. Nano Mater., (2018)
A more accurate, reliable method to evaluate thephotoelectrochemical performance of semiconductor electrode without under/over estimation
Jing-Mei Li, Yu-Ting Wang, Yung-Jung Hsu
Electrochim. Acta., (2018)
ZnO-Au-SnO2 Z-schemePhotoanodes for Remarkable Photoelectrochemical Water Splitting
Jing-Mei Li, Hao-Yun Cheng, Yi-Hsuan Chiu and Yung-Jung Hsu
Nanoscale, (2016)