معرفی
Prashant Pandey is an Assistant Professor at Northeastern University's Khoury College of Computer Sciences, co-directing the Data Lab and affiliated with Berkeley Lab's Performance and Algorithms Research Group. He holds a PhD in Computer Science from Stony Brook University (2018), with prior postdoc research at UC Berkeley, LBL, and Carnegie Mellon University, and a year as a Research Scientist at VMware Research.
His research focuses on scalable data systems with theoretical guarantees, spanning high-performance computing, computational biology, stream processing, and storage. Key projects include designing adaptive filters, GPU-accelerated data structures, and graph containers for skewed dynamic data. Recent talks include sessions on hash tables, B-trees, and graph frameworks at conferences in Bangalore, Las Vegas, and Santiago.
Teaching includes courses like Advanced Database Systems and Data Structures for Scalable Computing. His work bridges systems and algorithms, emphasizing practical applications in bioinformatics and exascale computing. Awards and grants are not explicitly listed, but his contributions include foundational papers on filters, hash tables, and genomic data indexing.
Ongoing efforts involve the Data Lab's exploration of high-performance filters for GPUs and collaborative projects like the BP-tree and Vector Quotient Filters. Students under his supervision focus on database systems, learned indexes, and external-memory joins.
