My research interests are: * Healthcare Informatics: Natural Language Processing (NLP), machine learning, information retrieval, semantics, Biomedical Ontology, knowledge representation and reasoning, patient data linkage, data de-identification, analytics, image non-image clinical data correlation. * Medical Image Analysis: image processing, image registration, image segmentation, object recognition, machine vision, and image classification. * Medical Image-guided Interventions: instrument tracking (optical, magnetic and camera-based), ultrasound-based image-guided diagnosis (Bx of prostate, and liver), robotic vision. Work Experience: <CodaMetrix, Boston, MA> 2019-2021--Senior Director of Machine Learning and AI * Technical leadership of all ML/AI activities * Managing a team of ML and NLP scientists and engineers. * Cross-functional responsibilities working with Engineering and Production teams for seamless integration of research innovations into product <Philips Research North America, Cambridge, MA> 2015 to Present--Cluster Leader, Senior Research Scientist, Clinical Informatics Services and Solutions * Leading multi-site projects (> $2mil/ year) to deliver innovations in Clinical Informatics in the domain of Radiology. Earned company recognition awards, including 12 innovation transfer awards. • Deep Learning for abnormality detection using imaging data. • Natural Language Processing for Clinical Note Parsing, • Computer-Aided Design (CAD) System for Lung Cancer Screening 2011 to 2015--Project Leader, Senior Research Scientist, Ultrasound Imaging and Interventions • Image-guided Interventions: Deformable image registration framework for multi-modal (MR-US/CT-US) image matching, real-time 3D segmentation methods • Machine Learning for Cancer Detection using Raw Ultrasound Imaging