Bio

B.S. ​Tsinghua University, Beijing, China, 2000​M.S. Carnegie Mellon University, Pittsburgh, USA, 2003Ph.D. ​​Carnegie Mellon University, Pittsburgh, USA, 2008

"We aim to develop novel machine-learning tools on important challenges in biomedicine. "

Yanjun Qi, Associate Professor

Yanjun Qi is an Associate professor (tenured) of the University of Virginia, Department of Computer Science since 2013. She was a senior researcher in the Machine Learning Department at NEC Labs American, Princeton, NJ from July 2008 to August 2013. Her research interests are within machine learning, deep learning, and bioinformatics. She obtained her Ph.D. degree from the School of Computer Science at Carnegie Mellon University in May 2008 and received her Bachelor's degree with highest honors from the Computer Science Department at Tsinghua University, Beijing. She has served as PCs and reviewers for multiple renowned international conferences/ journals and has co-chaired the NIPS “Machine Learning for Computational Biology” workshop. Dr. Qi has received a CAREER award from NSF.

 

Awards

  • CAREER award from NSF 2015

Research Interests

  • Machine Learning, Deep Learning, Robust AI, Bioinformatics, Medical Informatics

Selected Publications

  • Homepag ABS https://www.cs.virginia.edu/yanjun/
Google Scholar

Courses Taught

  • Machine Learning (Graduate+ AdvancedSenior level) 2013 Fall - Now
  • Special Topic: Large-Scale Machine Learning (PhD Student level) 2015 Spring
  • Special Topics: Advanced Deep Learning 2016-2019
Course Catalog

Featured Grants & Projects

  • NSF IIS-1453580:

    2015-2020

    CAREER: A Data-Driven Network Inference Framework for Context-Conditioned Protein Interaction Graphs

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  • NSF CNS-1619098:

    2016-2019

    TWC:Small: Automatic Techniques for Evaluating and Hardening Machine Learning Classifiers in the Presence of Adversaries

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