Guoqiang Yu
Professor
- Ph.D., Virginia Tech, 2011
- Postdoctoral Fellow, Stanford University, 2012
- M.S., Tsinghua University, 2004
- B.S., Shandong University, 2001
- Machine Learning
- Pattern Recognition
- Optimization
- Stochastic Signal Processing
- Data analytics
- Machine learning
- Signal and image processing
- Applied statistics and their applications to developing computational bioinformatics and neuroinformatics tools for the integrated modeling and analyses of various human diseases using multiplatform imaging, genomic, and molecular data.
- NSF Career Award, 2018
- Dean's Award for Excellence in Research (2022)
- COE Faculty Fellow Award (2020)
- Best Paper Award from the journal Neuron (2019)
- NSF CAREER Award (2018)
- The Best Student Paper Award from IEEE International Conference on Bioinformatics and Biomedicine (2016)
- The William A. Blackwell Award from Virginia Tech (2011)
- The Best Student Paper Award from IEEE International Conference on Bioinformatics and Biomedicine (2009)
- Member of Promotion and Tenure Committee of the ECE department at Virginia Tech ( 2022-2025)
- PI Member of NIH BRAIN Initiative Consortium (2021-)
- PI Member of NIH Data Science Consortium (2021-)
- Associate editor for BMC Bioinformatics (2017-)