I am an Assistant Professor at the Center for Biomedical Imaging in the Department of Radiology at NYU Grossman School of Medicine.

My research focuses on developing computational and artificial intelligence-based methods for biomedical imaging, with a primary emphasis on magnetic resonance imaging. I lead a computational prototyping group that combines computational electromagnetics, numerical linear algebra, and optimization to create fast and scalable methods for radiofrequency coil modeling, simulation, and automated design. We also develop techniques for noninvasive mapping of tissue electrical properties from MRI measurements. A complementary area of our research focuses on accelerated MRI acquisition and reconstruction, including optimized k-space sampling, learning-based reconstruction methods, and uncertainty quantification. Our overarching goal is to make MRI faster, more accurate, and more accessible through advances in computation and artificial intelligence.

I have been a recipient of several awards, including the 2023 Harold A. Wheeler Prize Paper Award from the IEEE Antennas and Propagation Society, the 2023 Outstanding Postdoctoral Scholar Award from NYU Grossman School of Medicine, and the NIH/NIBIB Pathway to Independence Award (K99/R00). In 2025, I was selected as an ISMRM Junior Fellow and an IEEE Senior Member.

Prior to my faculty appointment, I was a Postdoctoral Fellow in the same department from 2021 to 2026. I received my PhD in Computational and Data Science and Engineering from Skoltech in 2020. From 2018 to 2019, I was a visiting PhD student at the Research Laboratory of Electronics at MIT. I received my Diploma in Electrical and Computer Engineering from Aristotle University of Thessaloniki in 2016.