I am a staff scientist at the Surgical Biomechanics Lab at the University of Chicago. I collaborate with the University of Pittsburgh's Surreality Lab and Carnegie Mellon University's Computational Engineering & Robotics Lab (CERLAB), where I am also an alumnus.
I build computer vision and learning systems that recover anatomy, motion, and deformation from sparse clinical data, with applications in medical imaging and image-guided robotic intervention.
Featured Projects
FluoroGRID: Real-Time 3D Vascular Deformation from Monocular FluoroscopyEstimates patient-specific 3D neurovascular deformation from a single fluoroscopic view by fusing image evidence, pre-operative anatomy, and camera geometry. Sparse-View Cardiac Reconstruction with Neural Implicit RepresentationsCompletes 3D left-ventricular geometry from three annotated echocardiography sections, scored only on the voxels the model never observed. Dual-View Mammogram Alignment & ClassificationAligns and fuses CC and MLO mammograms with spatial transformers, then predicts BI-RADS categories from both views. Patient-Specific Aortic MultiphysicsMaps patient-specific aortic geometry, longitudinal growth, and available hemodynamic fields, then tests how their relationships hold across regions and mesh scales.
Recent Publications
2026The Use of Artificial Intelligence and Machine Learning to Predict Tumor Recurrence in High-Grade Gliomas: A Systematic ReviewNeurosurgical Review 2026Toward Real-Time 3D Vascular State Estimation from Monocular Fluoroscopy for Endovascular Robotic SurgeryIROS 2026 · ELSR Workshop 2025A Review of Robotics in Achieving Autonomous and Remote Neuroendovascular InterventionUnder review
Recent news
All news Oct 2026Presented early results from FluoroGRID at the 2nd International Workshop on the Evolving Landscape of Surgical Robotics (ELSR), held at IEEE/RSJ IROS 2026, on real-time 3D vascular state estimation from monocular fluoroscopy for endovascular robotic neurosurgery.
Aug 2026Our systematic review on using artificial intelligence and machine learning to predict tumor recurrence in high-grade gliomas has been accepted at Neurosurgical Review. The work was done with Dr. Trent Kite, Professors Aswin Sankaranarayanan and Pulkit Grover, and Dr. Matthew Shepard.
Aug 2026After graduating from Carnegie Mellon University, I am excited to be starting as a Staff Scientist at the Surgical Biomechanics Lab at the University of Chicago, led by Dr. Luka Pocivavsek.