Assistant Professor, Electrical and Computer Engineering
Performance Engineering, LLM for Software Engineering, and Computer Vision. With specific focus on AI for Coding, and Optimizing Visual Language Models.
Assistant Professor, Electrical and Computer Engineering
Research aims to develop mathematical understandings of the efficiency and robustness of deep neural network models to make deep learning usable in real world tasks, with applications spanning from computer vision, generative model and natura
Visual analytics, data science, and machine learning, with particular emphasis on developing interactive dimensionality reduction methods and multimodal interfaces for high-dimensional data analysis.
Assistant Professor, Computer Science, University of Arizona
End to end optimization of agentic workflows, including development, tuning, and deployment Anomaly Detection Algorithms and Systems AI (LLM) for Data Management, Data Management for AI (LLM) Distributed/Cloud Databases Data Lakes
Theoretical population genetics, phylogenetic inference especially in deep time, occasional work on stochastic models also in theoretical ecology, epidemiology, and economics.
Assistant Professor, Hydrology and Atmospheric Sciences
Research interests include computational hydrology, with a focus on deep learning, physically based models and hybrid differentiable models. Also scientific computing and open science.