To put a dent in the universe.
——Steve Jobs
Zhongliang Zhou(周中良）
I am a third-year Ph.D. student major in Computer Science at the University of Georgia co-advised by Dr.Natarajan Kannan and Dr.Sheng Li. Before joined UGA, I obtained my Bachelor's degree in Computer Science and Technology from Harbin Institute of Technology, my advised professor was Dr.Yongdong Xu.
My main research interest focus on interdisciplinary research, Machine Learning, Deep learning with application in the bioinformatics area.
In my spare time, I am keen on photography, tennis, badminton, painting.
I am fortunate to have the cutest puppy in the world named Juan Mao(卷毛), his picture is in the photo gallery.
News
I received Outstanding Graduate Student award from University of Georgia Department of Computer Science!
Publication
An explainable unsupervised framework for alignment-free protein classification using sequence embeddings (Co-first author submitted)
Mapping the glycosyltransferase fold landscape using interpretable deep learning (Co-first author accepted by Nature Communications IF=15.8).
Functional classification and validation of yeast prenylation motifs using machine learning and genetic reporters(submitted)
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases[J]. Elife, 2020, 9: e54532.
Identifying Keystone Species in the Microbial Community Based on Cross-Sectional Data[J]. Current Gene Therapy, 2018, 18(5): 296-306.
Work Experience
Data Scientist Intern BASF August 2021-March 2022
Front-end SDE Intern HIT August 2018-June 2019
Teaching Experience
Teaching assistant for CSCE 145 - Algorithmic Design I
Guest Lecturer for CSCI 3360 Data Science
Photo Gallery
