Yu-Wei Wu

Yu-Wei Wu is a Professor at the Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan. Previously, he served as an Associate Professor (February 2020 - July 2023) and Assistant Professor (October 2016 - January 2020) at the same institution. His academic career also includes a postdoctoral position at Academia Sinica Biodiversity Research Center in Taiwan (August 2016 - September 2016).

Dr. Wu received his PhD in Bioinformatics from Indiana University Bloomington (2007-2012) and a Master's degree in Computer Science from National Tsing Hua University (1998-2000).

Dr. Wu specializes in metagenomics and computational biology, with particular expertise in deciphering microbiomes using computational methods. His research interests span bioinformatics, genomics, sequence analysis, machine learning applications in biological problems, and NGS data analysis. His work bridges computational approaches with biological applications, developing algorithms for analyzing complex biological data, particularly in microbiome research and medical informatics. Recent projects include developing prediction models for obstetric complications using medical history data and creating computational tools for antimicrobial resistance prediction.

His extensive publication record (151 publications with over 6,000 citations) demonstrates expertise across multiple domains, with recent work focusing on metagenome analysis, chromosome-level genome assembly, predictive modeling in obstetrics, and antibiotic resistance prediction. Dr. Wu's interdisciplinary approach combines computational methodology development with practical biomedical applications, particularly in understanding bacterial communities and their clinical implications.

• Best Oral Presentation Award, 20th Asia Pacific Bioinformatics Conference (2022)
• Best Teaching Award, Taipei Medical University (2021)
• Best Paper Award (Gold), 16th International Conference on Bioinformatics (2017)
• Outstanding Research Contribution Award, Joint BioEnergy Institute (2016)
• Young Scientist Travel Grant, 6th Soil Metagenomics Annual Meeting (2014)

Dr. Wu leads research in biomedical informatics with a focus on developing computational methods for metagenome analysis, antibiotic resistance prediction, and medical prognosis. His work involves applying machine learning techniques to solve biological problems, with particular emphasis on creating accessible medical prediction models that don't require specialized equipment like ultrasound. While specific grant information isn't detailed in the provided text, his extensive publication record suggests successful funding for his research endeavors.

Dr. Wu maintains an active research laboratory at Taipei Medical University, collaborating with researchers across multiple disciplines including microbiology, genomics, and clinical medicine. His research group focuses on developing computational approaches for analyzing complex biological data, particularly in the areas of metagenomics and medical informatics, with applications spanning from understanding fish genome evolution to predicting pregnancy complications.