Dr Bin Li is a researcher in the field of biomedical engineering, with a particular focus on machine learning in bioimage informatics and computational pathology. Dr Li obtained his PhD in Biomedical Engineering from the University of Wisconsin-Madison, supervised by Professor Kevin Eliceiri. His research focuses on developing computational approaches to analyzing complex biological/histological image data, specifically in the context of chronic disease.
Currently, Dr Li is a postdoctoral researcher in Professor Jens Rittscher's group at the Institute of Biomedical Engineering. In this role, he continues to seek to advance the field of AI in healthcare and biomedical engineering through innovative and cutting-edge research that leverages the latest developments in computer vision and machine learning.
My current research interests lie in the application of deep learning techniques to histopathology, with a focus on developing novel algorithms for accurate and efficient diagnosis, prognosis, and treatment response of chronic diseases. I am interested in developing weakly supervised and semi-supervised learning approaches for biomedical image analysis, which enable large amounts of unlabeled/coarsely-labelled data to improve the accuracy of models.
I am currently working on the development of multimodal learning techniques for image-based drug screening and discovery, which leverage data from multiple modalities (e.g., microscopy, genomics, proteomics) to identify new drug targets and therapies.