PhD student in Computer and Information Science at UPenn (opens in a new window), advised by Ryan Marcus (opens in a new window) in the Penn Database Group (opens in a new window).
I build adaptive software systems that learn from execution and improve how they behave, with a current focus on database engines.
Codex usage
Updated
Research
- 01
Adaptive execution
How can a database choose better physical behavior at microsecond timescales?
- 02
Workload understanding
What do production traces hide about the work users actually wanted to run?
- 03
Self-evolvable software
Can software adapt inputs, policies, and implementations instead of waiting for retraining or manual tuning?
Publications
A microsecond-scale learning system selects a physical kernel for each data morsel, reducing end-to-end workload latency by up to 2×.
Shows how production traces encode a negotiation between users and platforms—and why the queries missing from those traces matter.
Adapts out-of-scope programs with semantics-preserving transformations, improving deep code models without frequent retraining.
An ontology-aware vision–language foundation model for zero-shot nuclei classification across tissues and unseen cell classes.
Updates
Education
- 2024–Now
PhD, Computer and Information Science
- 2026
MA, Statistics and Data Science
- 2024
BE, Computer Science