Prof. Dr. Fuyi Li Invited as Keynote Speaker at EIECT 2022

Reasearch Area: Machine learning, Data Mining, Bioinformatics

Fuyi Li was initially trained in software engineering during bachelor's and master's studies. His previous research mainly focused on the development of data mining algorithms. Since he commenced his PhD research at Monash University in 2017, he have experienced a dramatic transition from a computer scientist to a computational biologist in terms of his knowledge structure and way of thinking. Prof. Li used every source he could to build his understanding of the complex biological problems and proposed data-driven machine learning-based approaches to address these problems and provide solutions. Since his PhD conferral in 2020/05, he joined the Peter Doherty Institute for Infection and Immunity and worked as a bioinformatics research officer (Level B). After that, Prof. Li  was promoted to a full professor position on 2022/06 at the College of Information Engineering, Northwest A&F University. He can seamlessly communicate with both biologists and computer scientists and bridge the gap between them, to accurately describe the biological problem and propose appropriate ways to address it. 

Prof. Li's current research interests are large-scale data mining, machine learning, bioinformatics, and computational biomedicine. More specifically, his research focuses on machine learning, sequence analysis, structural analysis, DNA/RNA modifications and protein post-translational modification prediction, and antimicrobial resistance phenotype prediction. He have extensive expertise, skill sets, and experiences in sequence analysis, structural bioinformatics, machine learning-based modelling, and biomedical data analytics. He have published 54 research papers (46 are JCR Q1 journal papers), including 13 first-author papers, 9 corresponding author papers, and 7 co-first author papers in top-tier bioinformatics peer-reviewed journals, such as Briefings in Bioinformatics (23 papers), Bioinformatics (8 papers), BMC Bioinformatics (2 papers), and Genomics Proteomics & Bioinformatics (1 paper). Prof. Li's Google Scholar citation is 2437, h-index 24 and i10-index 36 (Aug 2022). Among his publications, 11 papers were selected as Clarivate Highly Cited Paper and his publications have been cited in prestigious peer-reviewed journals such as Cell, Nature Chemical Biology, PNAS, Nucleic Acid Research, Bioinformatics, and Briefings in Bioinformatics.