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Highlights

• B.S. Computer Science & Mathematics @ University of Florida (2024-2027)
• Volunteer Researcher @ MIRTH AI Lab (2024-Present)
• OPS Employee @ Computational Microscopy Imaging Laboratory (2025-Present)

Research Interests

• Self-supervised learning.
• Diffusion models and flow matching.
• Reinforcement learning.
• Geometric constraints and feature representations (manifolds, spectral structure).
• Current focus: flow matching for medical image synthesis and geometric representation learning.

Timeline

Volunteer Researcher, MIRTH AI Lab

• Period: 2024 - Present
• Location: Gainesville, FL
• Trained diffusion and flow-matching generative models for high-fidelity medical image synthesis.
• Developed implicit neural representations (INRs) for resolution-independent volumetric analysis.

OPS Employee, Computational Microscopy Imaging Laboratory

• Period: 2025 - Present
• Location: Gainesville, FL
• Contributing to a large NIH-funded grant focused on multimodal AI predictions for nephrology.
• Built self supervised abstract feature extraction pipelines across medical imaging modalities including ultrasound.
• Trained semantic embeddings from clinical reports using encoder-decoder architectures.

B.S. Computer Science, B.S. Mathematics, University of Florida

• Period: Aug 2024 - May 2027
• GPA: 3.95 / 4.00
• Relevant coursework:
  • Deep Learning in Medical Image Analysis
  • Linear Algebra for Data Science
  • Real Analysis with Advanced Calculus I and II

Publications

Geometry-Aware Implicit Neural Reconstruction of Oblique Micro-Ultrasound Scans

• Venue: In review at CMIG (2026)
• Code: https://github.com/mirthAI/GeometryAware-MicroUS-INR

AortaGPT: An Interactive Vision-Language System for Aortic CT Analysis

• Venue: Under review (2026)

Education

• B.S. Computer Science, University of Florida (2026)

Interests

• LLM pretraining and distributed training
• Reinforcement learning for language and vision-language models
• Information theory

Experience

Researcher, MIRTH AI Lab

• 2025 – present · Gainesville, FL
• Reinforcement learning for medical 3D vision-language models.
• 3D MRI segmentation for measuring brain development in preterm infants.

Lead ML Engineer, GatorLM

• 2026 – present · Gainesville, FL
• Pretrained a Mixture-of-Experts language model from scratch and built the distributed training setup behind it.

Teaching Assistant, University of Florida

• 2024, 2026 · C++ and Python