Media Coverages
Commenting on UN General Assembly High-Level Meeting on antimicrobial resistance 2024 - by Science Media Center Taiwan, Oct 1, 2024.
Among the top 2% scientists of the world in 2024. Ranked 69,845 among 223,153 top 2% scientists. In the field of microbiology, the rank is 1,615 among all 204,759 microbiology scientists.
Among the top 2% scientists of the world in 2023. Ranked 59,256 among 210,198 top 2% scientists. In the field of microbiology, the rank is 1,402 among all 190,396 microbiology scientists.
Among the top 2% scientists of the world in 2022. Ranked 79,760 among 200,409 top 2% scientists. In the field of microbiology, the rank is 1,782 among all 172,626 microbiology scientists.
Among the top 2% scientists of the world in 2021. Ranked 97,733 among 190,063 top 2% scientists. In the field of microbiology, the rank is 2,195 among all 165,244 microbiology scientists.
Commenting on a nature paper "Microbiota regulate social behaviour via stress response neurons in the brain" - by Science Media Center Taiwan, Jul 4, 2021.
4th Asia Microbiome Conference press release (in Chines Mandarin) - by GeneOnline, Jan 16, 2020.
3rd Asia Microbiome Conference press release (in Chinese Mandarin) - by GeneOnline, Jan 18, 2019.
Harnessing healing within the body: Taipei Medical University simplifies microbiome analysis using machine learning techniques - QS Wownews, Feb 23, 2018
Experience sharing: microbiome sequencing analysis (in Chinese Mandarin) - by TMU Today, Nov 15, 2017.
JBEI: MaxBin offers automated sorting through metagenomes - by Biomass Magazine, Oct 8, 2014.
Software for automated sorting of genomes of individual microbial species through metagenomes - by ScienceDaily, Sep 29, 2014.
MaxBin: Automated Sorting Through Metagenomes - by Berkeley Lab News Center, Sep 29, 2014.
Talks
“Mining Oceanic Microbes and Their Association with Environmental Factors using Machine Learning Techniques”, Taiwan Ocean Union Grand Meeting, National Taiwan University, 11/29/2024.
“Machine Learning Applications on Antimicrobial Resistance Prediction and Investigation”, Artificial Intelligence Medicine (AIM) Student Organization, Taipei Medical University, 10/09/2024.
“Predicting Antimicrobial Resistances (AMR) and discovering potential AMR genes through machine learning explainable models”, Department of Computer Science and Engineering, Yuan Ze University, 06/14/2024.
"Extracting potential antimicrobial resistance biomarker genes using bacterial pan-genome-based feature selection methods”, Department of Computer Science, National Cheng-Chi University, 03/04/2024.
“Workshop: Introduction to Microbiome analysis”, Bachelor program in Marine Biotechnology, National Ocean University, 11/3/2023.
“Extracting potential antimicrobial resistance biomarker genes using bacterial pan-genome-based feature selection methods”, TIGP Bioinformatics program, Academia Sinica, 3/8/2023.
“Enhancing antimicrobial resistance (AMR) pathogen prediction through potential AMR genes selected using a bacterial pan-genome-based machine learning feature selection approaches”, Department of Mechanical Engineering, National Cheng Kung University, 2/21/2023.
“Signals from uncultivated low abundance species recovered from microbiome samples enhance the prediction of diseases”, Mackay Memorial Hospital, 12/9/2022.
“Microbial genomes matter: how microbial genome analysis assists the microbiota-disease association study and the identification of putative antimicrobial resistance genes”, Department of Public Health, National Taiwan University, 12/2/2022.
“Extracting antimicrobial resistance (AMR) genes and enhancing AMR pathogen prediction using bacterial pan-genome-based machine learning approaches”, Department of Computer Science, National Chengchi University, 10/6/2022.
“A Cross-Validated Feature Selection approach for significantly reducing the number of features without sacrificing prediction accuracy”, Taipei Bioinformatics Omnibus 2022/9 monthly meeting lightning talk, 9/25/2022.
“Discovering potential antimicrobial resistance (AMR) gene biomarkers for predicting AMR pathogens using an explainable machine learning algorithm”, Department of Plant Pathology and Microbiology, National Taiwan University, 9/22/2022.
“From feature selection to biomarker discovery: using ensembled machine learning approach to identify key genes as bacterial antimicrobial resistance biomarkers”, Taipei Medical University Artificial Intelligence Research Center, 2/23/2022.
“A pan-genome-based approach for tackling antimicrobial resistance prediction problems”, Chang Gung Hospital, 1/12/2021.
“The predicting of antimicrobial resistance phenotypes from bacterial pan-genomes using machine learning algorithms”, HGT Bioinformatics Symposium and Workshop, 12/15/2020.
“Using bacterial pan-genome information to predict antimicrobial resistance activities via machine learning algorithms”, Taipei Medical University Artificial Intelligence Research Center, 9/30/2020.
“What are viruses? Why the SARS-CoV-2 coronavirus causes pneumonia”, Soobi remote presentation to high school students, 4/17/2020 and 4/27/2020.
“Machine learning principles and applications in the industrial world”, National Taiwan University of Science and Technology, 3/23/2020.
“Bioinformatics analysis 101 for SARS-CoV-2 viral genomics”, Fujen University, 3/18/2020.
“Why some of the bacteria are not influenced by antibiotics?” Soobi camp, Taipei, Taiwan, 11/30/2019.
“Artificial intelligence and machine learning”, 九九文教暑期卓越人才探索研習營 (Science camp for high school students), Taipei, Taiwan, 8/20/2019.
“A computational perspective on the analysis of gut microbiota and its association with diseases”, Taipei Medical University Hospital, Taipei, Taiwan, 1/17/2019.
“Artificial intelligence and machine learning”, 九九文教暑期卓越人才探索研習營 (Science camp for high school students), Taipei, Taiwan, 8/21/2018.
“The potential of microbiome research from the perspective of a computational biologist”, Tunghai University, Taichung, Taiwan, 5/16/2018.
“A machine learning-based approach for determining antimicrobial-resistant bacterial strains”, National Chung Cheng University, Chiayi, Taiwan, 3/5/2018.
“Mining and analyzing novel bacterial genomes from microbiome”, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, 5/19/2017.
“Entering the era of microbial dark matter: Can we decipher the microbes? How?”, Institute of Biomedical Informatics, National Yang Ming University, Taipei, Taiwan, 5/9/2017.
“Bacteria: how less we know about them, and how can we find them out computationally”, Department of Computer Science and Information Engineering, Fu Jen University, Taipei, Taiwan, 3/18/2017.
“1% versus 99%: How Little do We Know About the Microbial World, and How Can We Make Sense of It,” Biomedical Informatics Seminar Series, Taipei Medical University, Taipei, Taiwan, 10/20/2016.
“Extracting genomes from metagenomes and comparing the microbial contents among different environments: a computational point of view,” Joint BioEnergy Institute Seminar Series, Emeryville CA, 6/1/2016.
“Metagenomics: expanding our knowledge toward the microbial world by recovering and analyzing genomes directly from natural or man-made environments,” Institute of Population Health Sciences, National Health Research Institutes, Taiwan, 12/21/2015.
“Challenges and opportunities to extract knowledge from the biological Big Data,” Department of Applied Mathematics, National Chiao Tung University, Taiwan, 12/15/2015.
“Metagenomics: sequencing and analyzing microbial genomes directly from the environments,” Institute of Systems Biology and Bioinformatics, National Central University, Taiwan, 12/3/2015.
“Biological Data Science: Mining Information from Open Data,” Department of Bioinformatics and Medical Engineering, Asia University, Taiwan, 12/2/2015.
“From cell cultures to environments: sequencing microbial genomes directly from natural or man-made habitats,” Department of Life Science, National Taiwan University, Taiwan, 11/26/2015.
"Recovering individual genomes from metagenomes using MaxBin," Civil Engineering Department, University of Illinois, Urbana/Champaign, USA, 9/30/2014.
"Understanding microbial diversity and expanding bacteria catalog through metagenomics," Biodiversity Research Center, Academia Sinica, Taiwan, 5/19/2014.
“Targeted computational approaches for mining functional elements in metagenomes,” Joint BioEnergy Institute, Emeryville CA, USA, 4/23/2012.
10. "Metagenomics: challenges and opportunities to analyzing the mostly-unknown species in the environment," Chung Cheng University, Taiwan, 5/27/2011.
"Metagenomics: challenges and opportunities to analyzing the mostly-unknown species in the environment," Institute of Computer Science, Academia Sinica, Taiwan, 5/23/2011.
Guest lecturer, INFO-I690, Advanced Seminar I: Bioinformatics for Microbial Genomics and Metagenomics, Indiana University, Bloomington, 4/20/2010.