- PhD Candidate: 4th year, EECS Department, Pennsylvania State University
- Group: Information Processing & Algorithms Laboratory
- Advisors: Dr. Vishal Monga (Penn State), Dr. Steven Schiff (Yale)
- Research Interests: Computer Vision, Biomedical Imaging, Interpretability
Research Overview: I build domain-enriched, ante-hoc interpretable ML algorithms for biomedical image analysis, collaborating with clinicians at Harvard and Yale. My work targets neonatal hydrocephalus diagnosis from low-SNR clinical imagery (low-field MRI), embedding disease etiology and modality priors directly into model architecture — yielding interpretable, robust, state-of-the-art performance, especially in scarce, noisy, imperfect real-world clinical settings.