CV

Graduate Research Assistant

Schwing Lab, UIUC

Advised by Prof. Alexander Schwing.

• Exploring techniques to improve human action understanding in egocentric videos through generative modeling.

Research Intern

Honda Research Institute

• Developed a state-of-the-art method for error detection in long-form videos of procedural tasks.
• Derived theoretical foundations and insights supporting the use of diffusion models for classification.

Graduate Research Assistant

Computational Imaging Group, UIUC

Advised by Prof. Minh N. Do, in collaboration with Prof. Yaoyao Liu.

• Developed a CAD-to-image feature matching pipeline for a vision-based electronics manufacturing inspection system.
• Improved pose control and realism of objects generated by diffusion models to aid in synthetic data generation.

Research Intern

Siemens Digital Industries Software

• Implemented a diffusion-based synthetic data generation pipeline to aid in foundation model pretraining.
• Optimized multimodal foundation model inference for deployment in industrial applications.

Undergraduate Research Assistant

Vision Group, UIUC

Advised by Prof. Svetlana Lazebnik.

• Leveraged image forensics techniques to develop a classifier capable of detecting synthetically generated images.
• Analyzed the impact of various strategies for integrating Fourier-domain signals into deep neural networks.

PhD

University of Illinois Urbana-Champaign

Electrical and Computer Engineering

• Advised by Prof. Alexander Schwing.

BS (Highest Honors)

University of Illinois Urbana-Champaign

Computer Engineering