Machine Learning Researcher · RIT
Building AI systems that keep learning.
I’m a Computer Science Ph.D. candidate studying continual learning, parameter-efficient adaptation, and continual user modeling. My work asks a practical question: how can models evolve with new data without forgetting what they already know?
- ICML 2024
- ECIR 2026
- Former Zillow Research Intern
Ph.D. candidate at Rochester Institute of Technology, advised by Dr. Rui Li.
Research focus
Learning under change
I develop methods that make machine learning systems more adaptive, efficient, and useful in evolving environments.
Continual learning
Adapting model structure and representations across sequential tasks while limiting catastrophic forgetting.
Efficient adaptation
Using low-rank experts and probabilistic structure inference to add capability without retraining everything.
ML for discovery
Applying adaptive learning to recommendation, generalized category discovery, and bioinformatics graphs.
Selected research
Recent work
Bayesian Adaptation of Network Depth and Width for Continual Learning
A Bayesian framework that lets neural networks evolve both their depth and width as new tasks arrive.
Evolving Mixture of Low-Rank Experts for Continual User Modeling
A parameter-efficient mixture-of-experts approach for adapting recommender systems to sequential user data.
Updates
Latest news
Served as a reviewer for ECCV 2026 and NeurIPS 2026.
Successfully defended my Ph.D. dissertation proposal.
Our paper “Evolving Mixture of Low-Rank Experts for Continual User Modeling” was accepted at ECIR 2026.
Completed a summer internship as a Research Scientist Intern at Zillow Group.
Served as a reviewer for ICLR 2025.
Earlier updates
Our paper “Bayesian Adaptation of Network Depth and Width for Continual Learning” was accepted at ICML 2024.
Passed my Research Potential Assessment.
Joined RIT’s Ph.D. program in Computing and Information Sciences as a Graduate Research Assistant.
Joined Fusemachines as an Associate Machine Learning Engineer.
Graduated with a bachelor’s degree in Computer Engineering from Pulchowk Campus, Tribhuvan University.
Let’s connect
Interested in adaptive machine learning?
I’m seeking Research Scientist, Applied Scientist, and Machine Learning internships or roles for Summer and Fall 2027.