I now work at Spiral.

My research focuses on achieving near-bare-metal speeds for modern database management systems and data analysis tasks. I am interested in architecture-aware computation and hardware/software co-design, especially in the context of both existing (FPGA, GPU) and emergent (PIM, "Smart Storage") accelerator technology. This interest manifests itself as a focus on the choices made when representing data for compute and storage, such as how adding an application-specific data encoding process can improve overall performance. Recently, I have explored these interests in the context of vector databases and their integration with agentic pipelines (e.g., RAG), with a particular focus on "grounding" LLM-driven reasoning using provided data. More broadly, this research area overlaps with other fields I consider side interests, such as information theory, signal processing, and computer systems design.

I used to be a postdoctoral research fellow in the Computer Science Department at Carnegie Mellon University and member of the CMU Database Group. I received my doctoral and master's degrees from the University of Wisconsin-Madison. I was a member of the UW-Madison Database Group and was advised by Prof. Jignesh M. Patel.

I received my bachelor's degree in Computer Science from the Georgia Institute of Technology. I originally entered Georgia Tech as an Electrical Engineering major; while I switched to C.S. halfway through, I kept my low-level architecture interests in the form of the Devices and Information Internetworks major concentrations (Threads). After switching to C.S., I was exposed to academic research when I joined the PL&SE Group, where I worked under (then graduate student) Prof. Mattia Fazzini and Prof. Alessandro Orso.

Program Committee Member (Reviewer): SIGMOD'26 (+FORMATS'26), VLDB'26, VLDB'27, ICDE'27

External Reviewer: HPCA'25, SIGMOD'25, VLDB'25

Session Chair: CIDR'25