Aydın Buluç (Principal Investigator), is a Senior Scientist at the Lawrence Berkeley National Lab and an Adjunct Assistant Professor of Electrical Engineering and Computer Sciences at UC Berkeley. Previously, he was a Luis W. Alvarez postdoctoral fellow at LBNL and a visiting scientist at the Simons Institute for the Theory of Computing. He received his PhD in Computer Science from the University of California, Santa Barbara in 2010 and his BS in Computer Science and Engineering from Sabanci University, Turkey in 2005. Dr. Buluç is a recipient of the DOE Early Career Award in 2013 and the IEEE TCSC Award for Excellence for Early Career Researchers in 2015. He was also a founding associate editor of the ACM Transactions on Parallel Computing. More info in his personal website: https://people.eecs.berkeley.edu/~aydin/
Oguz Selvitopi is a Career Research Scientist in the Performance and Algorithms group of Computer Science Department at Lawrence Berkeley National Laboratory, where he was previously a Postdoctoral Research Fellow. His research interests are high performance computing, parallel sparse matrix computations, combinatorial scientific computing, and bioinformatics. Oguz received his Ph.D. in computer engineering from Bilkent University, Turkey in 2016.
Helen Xu is the 2022 Grace Hopper postdoctoral fellow at Lawrence Berkeley National Laboratory, and is in the Performance and Algorithms group of the Computer Science Department. . Her research interests include parallel computing, cache-efficient algorithms, and performance engineering. She received her PhD from MIT in 2022. For more information, please visit her website.
David Tench is the 2023 Grace Hopper postdoctoral fellow at Lawrence Berkeley National Laboratory, and is in the Performance and Algorithms group of the Computer Science Department. Before that, he was a CRA Computing Innovation Postdoctoral Fellow at Rutgers University. He received his Ph.D. from UMass Amherst in 2020. David focuses on designing space-efficient, memory-hierarchy-aware algorithms and build systems to address massive-scale problems in areas like bioinformatics, databases, network measurement, and machine learning. He is particularly interested in designing and implementing practical graph streaming and sketching algorithms. For more information see his personal webpage.
Can Kizilkale is a postdoctoral fellow with the Performance and Algorithms Group. His research interests are Optimization (Convex, Combinatorial), Mathematical Modeling, Matrix Analysis, and Game Theory. His recent focus is on fast first order methods. He received his PhD. degree in Computer Science from University of California Santa Barbara in Summer 2019
Yuxi Hong is a postdoctoral research fellow in the Performance and Algorithms group of the Computer Science Department at Lawrence Berkeley National Laboratory. He obtained his Ph.D. in Computer Science at King Abdullah University of Science and Technology (KAUST). He received an MS degree in Electronics Engineering from Tsinghua University and a BSc from Tsinghua University. His current research interests include HPC, Numerical Linear Algebra, GPU programming, sparse computation, low rank methods and efficient Machine Learning/ Deep learning.
Alok Tripathy is a Ph.D. student at UC Berkeley interested in designing algorithms and programming models that leverage high-performance systems, particularly heterogeneous systems. He graduated with a B.S. in Computer Science from Georgia Tech. Alok is a NSF GRFP fellow. More info on his personal website: aloktripathy.me
Vivek Bharadwaj is a PhD student at UC Berkeley. His interests include sparse linear algebra kernels, tensor decomposition, and machine learning - more on his personal website (link: vbharadwaj-bk.github.io). He received his BS from Caltech, where he majored in Computer Science and Mathematics. Vivek is a DOE CSGF fellow (2021-2025).
Tianyu Liang is a Ph.D. student at UC Berkeley advised by Aydın Buluç and James Demmel. His research interests are numerical linear algebra, parallel/distributed computing, and fast algorithms. Tianyu is a NSF GRFP fellow.
Gabriel Raulet is a Ph.D student at UC Berkeley. Previously, he was a Computer Systems Engineer at Lawrence Berkeley National Lab. His interests include graph algorithms, computational biology, parallel computing, and theory of computation. He graduated with a B.S. from UC Davis, where he majored in Computer Science and minored in Mathematics.
Yen-Hsiang Chang is a Ph.D student at UC Berkeley. His research interests include high-performance computing and parallel algorithms. He received his B.S. from UIUC, where he majored in Computer Engineering and minored in Mathematics. More info on his personal website: yen-hsiang-chang.github.io
Yu-Hang Tang, Research Scientist (2019-2022), Now: NVIDIA
Prashant Pandey, Postdoctoral Fellow (2019-2021), Now: Assistant Professor, University of Utah
Israt Nisa, Postdoctoral Fellow (2020-2021), Now: AWS AI
Jiakun Yan, Undergraduate Researcher (2019-2020), Now: PhD Student at UIUC
Saliya Ekanayake, Postdoctoral Fellow (2018-2020), Now: Microsoft.
Ariful Azad, Postdoctoral Fellow (2014-16), Research Scientist (2016-18), Now: Assistant Professor, Indiana University
Sang-Yun Oh, Postdoctoral Fellow (2013-15), Now: Associate Professor, University of California, Santa Barbara
Harsha Vardhan Simhadri, Postdoctoral Fellow (2013-14), Now: Researcher, Microsoft Research India
Veronika Strnadova-Neeley, Graduate Student Research Assistant (2013-16), Now: Assistant Professor, Montana State University
Koby Hayashi, CSGF Summer Student at LBNL (2021 and 2022)
Caitlin Whitter (Purdue), CSGF Summer Student at LBNL (2019)
Sureyya Emre Kurt (Utah), Summer Research Intern at LBNL (2019).
Elizabeth Koning (Calvin College), Summer Research Intern at UC Berkeley (2019)
Yusuke Nagasaka (Tokyo Institute of Technology), Summer Research Intern at LBNL (2017).
Patrick Flick (Georgia Tech), Summer Research Intern at LBNL (2016).
Adam Sealfon (MIT), CSGF Summer Student at LBNL (2015)
Adam Lugowski (UCSB), Summer Research Intern at LBNL (2012).