David Domingo

Computer Science PhD Candidate @ Rutgers University

dd-profile_right.jpg

About Me

I’m currently a final year PhD Candidate studying Computer Science at Rutgers University. I am part of the Systems Research Lab in the Department of Computer Science advised by Sudarsun Kannan working on solutions to improve performance for multi-threaded, I/O intensive workloads on modern storage.

Previously, I was a research intern at Google analyzing distributed storage workloads and Microsoft Research working on optimizing VM Allocation.

Aside from academics I like playing around with operating systems, cars, motorcycles, and photography. In my spare time, I like to work with my hands, whether it be working on my cars/motorcycles, tinkering with 3D-printing, microcontrollers, or building furniture.

Interests

Operating Systems, Distributed Systems, File Systems, Storage Architecture, Distributed Storage, Databases/Key-Value Stores, Cloud Infrastructure, Cloud Efficiency.

Mission

We are living during a time of extreme data growth; workloads from AI/ML, IoT devices, and social media services are generating and consuming large amounts of data. I’m interested in researching problems related to how we scale the way we store and retrieve data. With newer storage technologies becoming more performant and more affordable, we should able to utilize them and efficiently integrate them into the systems we use today. Additionally, with the exponential growth of data workloads, we should be able to build/optimize storage systems to scale effiently and minimize the potential excasterbation of hardware and energy waste.

*Note: I’m currently on the job market and looking for industry positions!*

Connect with me using my contact info and social media links below!


recent news

Apr 18, 2025 I successfully passed my PhD defense! I want to give a big thanks to my committee members Sudarsun Kannan, Santosh Nagarakatte, Srinivas Narayana, Minesh Patel, and Junaid Khalid!
Mar 25, 2025 Our Paper “Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling” has been accepted to USENIX Symposium on Operating Systems Design and Implementation (OSDI ‘25)!
Jan 22, 2025 I was awarded a student grant to attend USENIX Conference on File and Storage Technologies (FAST ‘25)!
Dec 05, 2024 Our Paper “PolyStore: Exploiting Combined Capabilities of Heterogeneous Storage” has been accepted to USENIX Conference on File and Storage Technologies (FAST ‘25)!