David Gleich
Jyoti and Aditya Mathur Professor of Computer Science
David Gleich is a Professor and University Faculty Scholar whose research is on novel models and fast large-scale algorithms for data-driven scientific computing including scientific data analysis, bioinformatics, and network analysis. In terms of buzzwords, he enjoys manipulating matrices, graphs, networks, tensors (if they fit). He is committed to making software available based on this research and has written software package such as MatlabBGL with tho… ↓More
Joined department: Fall 2011
Research Areas
- Computational Science and Engineering
- Artificial Intelligence, Machine Learning, and Natural Language Processing
Education
Ph.D., Stanford University, Computational and Mathematical Engineering (2009)
M.S., Stanford University, Computational and Mathematical Engineering (2006)
B.S., Harvey Mudd College, Computer Science and Mathematics (2004)
David Gleich is a Professor and University Faculty Scholar whose research is on novel models and fast large-scale algorithms for data-driven scientific computing including scientific data analysis, bioinformatics, and network analysis. In terms of buzzwords, he enjoys manipulating matrices, graphs, networks, tensors (if they fit). He is committed to making software available based on this research and has written software package such as MatlabBGL with thousands of users worldwide.
Gleich has received a number of awards for his research including a SIAM Outstanding Publication prize (2018), a Sloan Research Fellowship (2016), an NSF CAREER Award (2011), the John von Neumann post-doctoral fellowship at Sandia National Laboratories in Livermore CA (2009).
His research has been funded by the NSF, DOE, DARPA, IARPA, and NASA.
Check out David Gleich on Github, David Gleich on Bluesky
Selected Publications
Austin Benson, David F. Gleich, and Jure Leskovec. Higher Order Organization of Complex Networks. Science 353 (6295), 163-166 (2016).
Meng Liu, Tamal Dey, David F. Gleich. Topological structure of complex prediction. Nature Machine Intelligence 5 (12), 1382-1389 (2023).
David F. Gleich. PageRank Beyond the Web. SIAM Review 57 (3), 321-363 (2015).
Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, and David F. Gleich. Low rank spectral network alignment. Proceedings of the 2018 World Wide Web Conference, 619-628 (2018).