Graduate Research Assistant, WashU Medicine MIR/CIRC
Present
- Researching clinically grounded medical AI methods in computational imaging.
- Developing robust evaluation and modeling strategies for translational imaging pipelines.
Research and Professional Experience
My work combines medical AI research, explainable computer vision, and production-grade engineering.
Timeline
Duke Collaborative Project: Lung CT IQA and Harmonization
2025 - Present
- Evaluated 13 IQA metrics across structural, perceptual, and statistical categories.
- Analyzed NLST, VLST, and DLCS cohorts for detection, classification, and COPD quantification tasks.
- Studied CT-HARMONICA harmonization effects on realism, statistical bias, and quantitative consistency.
Machine Learning Research Assistant, Texas A&M University
June 2023 - 2024
- Developed lacunarity-based pooling for texture-aware image classification.
- Co-authored work in CVPRW, IGARSS, and ICMLA on vision and explainable AI.
Android Security Software Engineer, Ittiam Systems
September 2021 - June 2022
- Built AOSP fuzzing infrastructure and vulnerability analysis workflows.
Research Intern, IISc
May 2021 - August 2021
- Analyzed codec and network tradeoffs for real-time video transmission.