Ilias Giannakopoulos is a postdoctoral fellow and computational imaging researcher with nine years of experience developing numerical methods for MRI coil design and assessment at NYU Langone Health’s CAI2R and CBI. Trained with a PhD in Computational Science from Skoltech and as a visiting PhD student at MIT, he blends rigorous computational prototyping with hands-on experimental radiology to translate algorithms into practical imaging improvements. He mentors doctoral candidates while collaborating across academic labs, bringing expertise in discretization and data‑intensive simulation from prior roles at Skoltech and MIT. Based in New York, he’s known for coupling deep technical modeling skills with pragmatic validation in biomedical imaging systems—often focusing on numerical efficiency and reproducibility that aren’t obvious from publication lists alone.
9 years of coding experience
1 year of employment as a software developer
Visiting Ph.D. student, Electrical Engineering and Computer Science, Visiting Ph.D. student, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computational Science, Doctor of Philosophy - PhD, Computational Science at Skolkovo Institute of Science and Technology
Master of Engineering - MEng, Electrical Engineering and Computer Science, 8.48/10, Master of Engineering - MEng, Electrical Engineering and Computer Science, 8.48/10 at Aristotle University of Thessaloniki (AUTH)
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Ilias Giannakopoulos - Postdoctoral Fellow at NYU Langone Health