I am a third-year graduate student at Harvard University, where I am a member of DASlab. I am advised by Prof. I am also interested in self-managing and auto-tuning data systems architectures. Prior to joining Harvard, I spent about a year investigating data processing on modern hardware at the Oracle Labs.

Harvard School of Engineering and Applied Sciences. Data systems, data analytics, hardware-conscious data analytics, balancing tradeoffs for access methods, non-volatile memories for data systems, hardware-conscious machine learning. Below you can find a short summary of the projects I worked on with the related publications. We study the manifestation of the balance between the RUM overheads in state-of-the-art access methods, and we pursue a path toward RUM-aware access methods for future data systems.

Designing data systems for the big data era. Algorithms, data structures, architectures. Are in the critical path of everything we do today. At DASlab we design systems for evolving hardware and workloads that can handle the challenges of the big data era. We focus on both traditional and emerging application scenarios, being a member of the databases community. Check out some of our main projects below! DASlab is part of the. At DASlab, we focus.

Before joining Vertica I was an undergraduate researcher at the DASlab. Working with Professor Stratos Idreos. At SIGMOD 2015 for more details. I have interned as a software engineer at Wayfair. And specifically in the Product Catalogue team, where I got my hands dirty with creating tools for handling big data.

More details about the mission and goals of the workshop, as well as specific topics of interest can be found on the call for papers. For issues related to the workshop, you can contact the workshop chairs. Long Beach CA, USA.