Assistant Professor
Electrical and Computer Engineering
Honors:
Faculty Fellowship, Hellman Foundation; Early CAREER Award, National Science Foundation; Regents' Junior Faculty Fellowship, UCSB Academic Personnel Office; Women in Science Fellowship, L'Oreal Foundation - Unesco
Research: Communications & Signal Processing, Bioengineering
Dr. Miolane's research contributes to building theoretical foundations and developing practical tools to create computational representations of biological structures — organs, cells, molecules — from biomedical images. Modeling the healthy and pathological states of these structures is crucial for applications in biology and medicine, ranging from our understanding of cancers to the diagnosis of neurodegenerative diseases. Specifically, she focuses on quantifying biological shapes and their variations in biomedical imaging datasets -— using tools from geometry, statistics, machine learning, deep learning and computer vision. Such "shape descriptors" are then correlated with healthy or pathological conditions, thanks to collaborations with biologists and clinicians within academia or industry.
Education:
- PhD Computer Science, National Institute for Research in Computer Science and Automation (Inria) and Universite Cote d'Azur (UCA)
- MS Mathematics and Theoretical Physics, Ecole Polytechnique (France)
- MS Theoretical Physics, Imperial College (UK