Gordina Hodibert

INTRODUCTION

My name is Gordina Hodibert, and I am a fourth-year Biomedical Engineering student at the University of Virginia and an A. James Clark Scholar. I am motivated by understanding how complex systems behave when observations are incomplete or noisy, and by learning how computational tools can be used to extract reliable structure from such data. Over time, this interest has drawn me increasingly toward computer science and machine learning as frameworks for studying biological systems.

My current research centers on computational modeling and machine learning in cardiovascular biology. In my lab, I develop image analysis pipelines and computational models to study cardiac repair processes, integrating coding, data analysis, and systems-level reasoning. Much of my work involves understanding how modeling assumptions and data quality affect downstream inference, particularly when working with heterogeneous biological data.

Beyond academic research, I co-founded VitaliPatch, a microneedle-based wound care device designed to reduce surgical site infections by improving healing conditions at the wound interface. This experience exposed me to the challenges of translating engineering ideas into practical healthcare solutions and reinforced my interest in approaches that remain robust outside controlled settings.

I plan to pursue a PhD in computer science with a focus on machine learning, where I can study how structured representations are learned from imperfect data, and develop methods that support reliable inference in complex, real-world systems, including biological and medical applications.

PROFILE

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