Santiago Coelho, postdoctoral fellow who develops diffusion MRI methods for brain imaging, talks about modeling tissue properties, entering the field by chance, and what he proposes to do next.
Tag: Postdoctoral Training
Ilias Giannakopoulos, postdoctoral fellow in MRI, talks about how electromagnetic waves interact with the body, why matrix compression matters, and where he finds inspiration.
Li Feng, developer of fast MRI techniques, talks about going beyond speed, his path to academia, and the rewards of persistence.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.
Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”
Florian Knoll, incoming chair of imaging at University of Erlangen–Nuremberg, talks about his background, not being greedy, and why he does what he does.
Hong Hsi Lee, alumnus of the Biomedical Imaging & Technology PhD Program at NYU Grossman School of Medicine, has just completed postdoctoral training at our Center and is headed to a postdoctoral fellowship at Massachusetts General Hospital. We take a look at his journey.