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Summer Researcher

University of Pittsburgh, Surreality Lab

Researching real-time registration and 3D reconstruction for medical imaging data with collaborators across robotic surgery projects.

• Working with Rishi Basdeo under Professors Edward Andrews and Jacob Biehl.
• Extending master's thesis work toward clinical mixed-reality and surgical visualization settings.

Teaching Assistant

Carnegie Mellon University

Course support across graduate classes in deep learning, computer vision, and biomedical engineering.

• Applied Deep Learning, Spring 2025, with Dr. Clarence Worrell.
• Fundamentals of Computational Biomedical Engineering, Fall 2025, with Dr. Jason Szafron.
• Computer Vision for Engineers, Fall 2025, with Dr. Kenji Shimada.
• Machine Learning in Experimental Biomedical Engineering Research, Spring 2026, with Dr. Newell Washburn.

Graduate Research Assistant, Glioblastoma Evolution Prediction

Carnegie Mellon University

Developed longitudinal MRI forecasting models for glioblastoma progression using Neural ODE-based approaches.

• Built attention U-Net plus Neural ODE forecasting pipelines for multimodal MRI using FLAIR, T1, T2, and post-contrast T1 data.
• Compared multiple model branches, including prefix-history forecasting and physics-informed variants, against persistence baselines.
• Presented the work at Carnegie Mellon's 2025 Biomedical Engineering research forum.

Graduate Student Researcher, Computational Engineering and Robotics Lab

Carnegie Mellon University

Master's thesis research on computer vision for image-guided robotic intervention and endovascular tele-surgery.

• Built a pipeline for synthetic vessel deformation data generation, multi-view X-ray rendering, and physics auditing for endovascular intervention research.
• Developed MorphPINN, a multimodal network that fuses fluoroscopy with 3D geometric context to predict vessel deformation from sparse imaging.
• Contributed the vision subsystem section to a literature review on robot-assisted endovascular surgery currently under review at the Journal of Intelligent and Robotic Systems.

Master of Science - Research

Carnegie Mellon University

Biomedical Engineering, computational focus

• Computer Vision
• Visual Learning and Recognition
• Image-Based Computational Modelling and Analysis
• Learning for 3D Vision
• Clinical Translations of AI

Bachelor of Technology

Manipal Institute of Technology

Biomedical Engineering major, Data Science minor

• Pattern Recognition
• Digital Image Processing
• Digital Signal Processing
• Signals and Systems
• Statistical Inference and Machine Learning

Biomedical Engineering Department Head's Fellowship

Carnegie Mellon University

Department fellowship awarded on entry to the research master's program in biomedical engineering.

Best Paper, AI Track

Second International Conference on Artificial Intelligence, Computational Electronics and Communication

Awarded for undergraduate research work in applied AI for biomedical image analysis.

An explainable artificial intelligence integrated system for automatic detection of dengue from images of blood smears using transfer learning

IEEE Access

Explainable AI system for dengue detection from peripheral blood smear images using transfer learning.

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks

Cogent Engineering

Journal paper on lung cancer histopathology classification using a pre-processing pipeline and attention-based deep neural networks.

Deep learning based detection of monkeypox virus using skin lesion images

Medicine in Novel Technology and Devices

Skin-lesion image classification for monkeypox diagnosis with deep learning and interpretable visual explanations.

Processing and Detection of Lung and Colon Cancer from Histopathological Images using Deep Residual Networks

2023 IEEE International Conference on Electronics, Computing and Communication Technologies

Conference paper on deep residual networks for histopathological classification of lung and colon cancer.

Physics-Informed Endovasculature Deformation Estimation and Registration

Master's thesis project on modeling vessel deformation from fluoroscopy for image-guided endovascular robotics.

• Synthetic vessel deformation generation with free-form deformation and guidewire kinematics.
• Multi-view X-ray rendering across clinically relevant projections.
• Multimodal deformation prediction with geometry-aware learning.

Spatiotemporal Glioblastoma Evolution Visual Prediction

Neural ODE-based forecasting of future glioblastoma appearance from longitudinal multimodal MRI.

• Attention U-Net plus Neural ODE modeling.
• History-conditioned forecasting across MRI timepoints.
• Evaluation against simple persistence baselines.

Open Horizon Robotics Perception Curriculum

Open-source computer vision curriculum spanning classical vision, deep learning, 3D vision, geometry, and perception physics.

• Authoring learning material for perception and prerequisite mathematics.
• Mentoring student-led projects in the Open Horizon Robotics community.