John Wu, Developer at Berkeley Lab

John Wu

Developer, Berkeley Lab

Dr. Wu works actively on a number of topics in data management, data analysis, and high-performance computing. His algorithmic research work includes bitmap indexing techniques for searching large datasets, statistical methods for extract features from a variety of data, and restarting strategies for computing extreme eigenvalues.
He is the developer of a number of software packages, including, IDEALEM, SDS, FastBit and TRLan. Among them, the FastBit software for indexing large datasets has earned an R&D 100 Award, and is used by many organizations. For example, a German bioinformatics company uses FastBit to accelerate their molecular docking software by hundreds times.


Spark for Behavioral Analytics Research

This presentation reports our experience on using the machine learning techniques in Apache Spark ecosystem to understand the user behavior in a number of applications. In this context, Spark makes the vast computing power of… Read more