# ExaGraph Team

**Mahantesh Halappanavar** is the lead PI of the ExaGraph co-design center. He is a Senior Research Scientist in the Advanced Computing, Mathematics, and Data Division at the Pacific Northwest National Laboratory. He is a member of the Data Sciences Group and leads the Data Analytics team. His research interests broadly include parallel graph algorithms, data intensive computing, scientific computing, high-performance computing, and machine learning.

**Aydin Buluc** is a Staff Scientist at the Lawrence Berkeley National Lab and a Adjunct Assistant Professor of Electrical Engineering and Computer Sciences at UC Berkeley. His research focuses on high-performance graph analysis and libraries, parallel sparse matrix computations, communication-avoiding algorithms, with applications in computational genomics and machine learning.

**Alex Pothen **is a Professor of Computer Science at Purdue University. His research focuses on combinatorial scientific computing, parallel graph algorithms, and applications in bioinformatics and computational biology.

**Erik Boman** is a scientist at Sandia National Labs. He works in the Scalable Algorithms group in the Center for Computing Research. His research areas include high-performance computing, combinatorial scientific computing, sparse matrix computations and numerical linear algebra. He serves on the editorial board of several journals, including SIAM J. Sci. Comp. and ACM TOMS.

**Ariful Azad **is an Assistant Professor of Intelligent Systems Engineering at Indiana University, Bloomington. His research focuses on parallel graph algorithms, sparse matrix computations, high-performance computing and applications in computational biology and scientific computing.

**Siva Rajamanickam **is a scientist at Sandia National Labs. He works in the Scalable Algorithms group in the Center for Computing Research. His research areas include high-performance computing, combinatorial scientific computing, sparse matrix computations and machine learning.

**Antonino Tumeo **is a Senior Research Scientist in the High Performance Computing Group at Pacific Northwest National Laboratory. His research interests are modeling and simulation of high performance architectures, hardware-software codesign, FPGA prototyping and GPGPU computing, with a focus on irregular workloads.

**Arif Khan **is a Scientist at Pacific Northwest National Laboratory. His research interest includes graph algorithm, high performance computing, approximation algorithm along with their applications in bioinformatics, scientific computing and machine learning.

**Saliya Ekanayake** is a Postdoctoral Scholar in the Performance and Algorithms Research (PAR) group at Lawrence Berkeley National Laboratory. He is broadly interested in Big Data, machine learning, and parallel programming.

**Sayan Ghosh **is a PhD student at Washington State University in Pullman, WA and, an Alternate Sponsored Fellow (ASF) at Pacific Northwest National Laboratory. He is** **broadly interested in applying one-sided communication models in building scientific applications.