About

I am an Assistant Professor at the Department of Computer Science at Yale University. My research interests span systems and networking.

Research

You can find a full list of my publications here.

OS Stack for Disaggregated & Serverless Architectures:

CORD: Low-Latency, Bandwidth-Efficient and Scalable Release Consistency via Directory Ordering [ISCA’25] [Code]
PULSE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory [ASPLOS’25] [Code]
Exploring Intelligent Dynamic Resource Provisioning for Elastic Massive MIMO vRAN [HotMobile’25]
PromptCache: Modular Attention Reuse for Low-latency Inference [MLSys’24]
Karma: Resource Allocation for Dynamic Demands [OSDI’23]
Prefetching Using Principles of Hippocampal-Neocortical Interaction [HotOS’23]
Shepherd: Serving DNNs in the Wild [NSDI’23]
Jiffy: Elastic Far-Memory for Stateful Serverless Analytics [EuroSys’22] [Code]
MIND: In-Network Memory Management for Disaggregated Data Centers [SOSP’21] [Code]
What serverless computing is and should become: the next phase of cloud computing [CACM’21]
Caerus: NIMBLE Task Scheduling for Serverless Analytics [NSDI’21]
Le Taureau: Deconstructing the Serverless Landscape & A Look Forward [SIGMOD’20]
A Berkeley View on Serverless Computing [UC Berkeley Tech Report]

Secure cloud systems:

Found in Translation: A Generative Language Modeling Approach to Memory Access Pattern Attacks [USENIX Security’25] [Code]
Weave: Efficient and Expressive Oblivious Analytics at Scale [OSDI’25] [Code]
Length Leakage in Oblivious Data Access Mechanisms [USENIX Security’24]
Shortstack: Distributed, Fault-tolerant, Oblivious Data Access [OSDI’22][Code]
Pancake: Frequency Smoothing for Encrypted Data Stores [USENIX Security’20] [Code]

High-performance storage stacks for automated data:

TRINITY: A Fast Compressed Multi-attribute Data Store [EuroSys’24] [Code]
SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing [ISCA’23]
Distributed Monitoring & Diagnosis Stack for High Speed Networks [NSDI’19], [Code]

(Prior work) Queries on compressed data:

Succinct: Enabling Queries on compressed data [NSDI’15], [Code: C++], [Code: Java]
BlowFish: Dynamic Storage-Performance Tradeoff in Data Stores [NSDI’16]
Sprint: Regular Expression Queries on Compressed Data [Tech Report], [Code]
ZipG: Serving Queries on Compressed Graphs [SIGMOD’17]

Postdocs:

PhD Students:

Current:

Past:

Undergraduates:

Past:

CPSC 422/522: Operating Systems

CPSC 433/533: Computer Networks

CPSC 438/538: Big Data Systems

Program Committees: