Computational models and algorithms in: • Genome Assembly and Metagenomics Analysis • Comparative Genomics and Phylogeny Reconstruction • Computational Proteomics and Analytical Chemistry • Network Analysis and Data Management
My research focuses on computational biology, an interdisciplinary area at the intersection of computer science and biology. The explosion of genomics and proteomics data in the last two decades has created new opportunities and computational challenges to gain new biological insights. My research aims to seize the opportunities and to design new models and algorithms to address the computational challenges for interpreting complex biological datasets. I am drawn to three major areas where I can solve fundamental problems in both biology and algorithms. Please visit our group website https://cgg-anu.github.io for more information.
Yu Lin joined the ANU School of Computing in September 2016. Prior to this, he was a postdoctoral fellow at the Department of Computer Science and Engineering, University of California, San Diego (UCSD). He received his PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He also holds a master’s degree in Computer Science from the Chinese Academy of Sciences and a bachelor’s degree in Computer Science from the University of Science and Technology of China (USTC). For more information, refer to Yu’s website.
Activities & Awards#
Yu Lin received the Outstanding Contribution by an Early Career Researcher Award from the Australian Bioinformatics and Computational Biology Society in 2020. He is also the recipient of the Chinese Government Award for Outstanding Self-Financed Students Abroad, the Director’s Award from the Institute of Computing Technology, Chinese Academy of Sciences, and the Guo Moruo Presidential Award from the University of Science and Technology of China.