Biography

My research interests span a broad range of topics in the field of signal/image/data processing and analysis. I am interested in knowledge discovery from raw data using statistical and machine-learning-based modeling. Specifically, I analyze data from varied sources to decipher relations and recognize patterns that can be used to make more objective and smarter decisions. Specific areas of interest include bioinformatics, data representation and modeling, pattern recognition, and machine learning. I have experience in developing computer vision systems for automated detection and grading of cancer from histopathology images and in large-scale image processing software development. Currently, my research lies at the intersection of biomedical signal processing and artificial intelligence with applications to type 1 diabetes (T1D) technologies and multiple sclerosis (MS). As a staff member of the Artificial Intelligence for Medical Systems (AIMS) lab at OHSU, I have had the opportunity of collaborating with physicians and engineers under the direction of Dr. Peter G. Jacobs in the development of novel T1D technologies. For instance, I recently developed a model for hypoglycemia prediction that surpasses the accuracy reported in previous research works and commercial continuous monitoring systems and that will be incorporated into a decision support system for patients managing T1D with multiple daily injections (MDI) therapy. My long-term goal is to become an independent researcher in the general field machine learning applied to healthcare problems. I am particularly interested in creating, improving, and individualizing patients care through effective use of data-driven models.