BIOGRAPHY
Chrysostomos Marasinou is a postdoctoral scholar at MII. I dedicated my PhD to the study of theoretical physics with a focus on string theory. Utilizing my background, I am currently pursuing research on the field of machine learning, applied in medicine. My primary interests include the understanding and application of machine, deep, and reinforcement learning algorithms to facilitate early diagnosis and individualized medical decisions. Currently, I am working on improving cancer prediction for microcalcification findings in full-field digital mammography. In my free time, I am honing my skills in cooking Greek food.
BIOGRAPHY
Tianran received her B.E. degree in optical information from Beijing Institute of Technology in 2015 and joined MII group as a doctorate student in bioengineering. She is interested in creating new methods for statistical disease modeling to combine clinical factors with imaging features and provide better clinical decision support.
BIOGRAPHY
Leihao Wei is a Ph.D. student working towards his Ph.D. degree in Electrical and Computer Engineering Department. He is interested in applying machine learning techniques to medical imaging methods for delivering insights to complex healthcare problems and improving patient care. Before joining MII, he was with Terahertz Electronics Laboratory at UCLA, where he worked on smart terahertz antennas for wireless communication systems.
BIOGRAPHY
Jiayun’s research focuses on developing weakly- or semi-supervised models to learn deep representations from large-scale whole slide image datasets, and combine histopathological features, imaging representation and clinical variable for disease progression prediction. Jiayun has also worked as a data scientist intern at Ancestry for image caption generation during summer 2018, and a software engineering intern in machine learning at Google for hotel photo analysis during summer 2019.
Previously, Jiayun received a B.S. in Electrical Engineering at Fudan University in 2015. During that time, she worked as an undergraduate researcher on graphical models and their applications in Traditional Chinese Medicine at Adaptive Network and Control Lab.
BIOGRAPHY
Simon has worked on numerous projects in MII, such as observational databases for various cancer patients, system for assessing the concordance between radiology findings and pathology findings, and lung cancer disease modeling. Currently, Simon is investigating sequential decision making in a breast cancer screening context.