Raghav Padmanabhan
About Raghav Padmanabhan
Work at Ionpath
Raghav Padmanabhan has served as the Senior Director of Data Science at Ionpath since 2021. In this role, he focuses on leveraging data science to enhance the company's capabilities in multiplexed ion beam imaging. His leadership contributes to the strategic vision of Ionpath in applying AI-driven applications within the healthcare sector.
Education and Expertise
Raghav Padmanabhan holds a Master's degree in Electrical and Electronics Engineering from Rensselaer Polytechnic Institute, which he completed from 2007 to 2009. He further advanced his education by earning a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from the University of Houston between 2009 and 2012. His academic background supports his extensive expertise in deep learning and machine learning algorithms, particularly in healthcare applications.
Background
Raghav Padmanabhan has a diverse professional background, having worked in various roles across multiple institutions. He began his career as a Software Engineer at Cognizant Technology Solutions from 2005 to 2007. He then transitioned to research roles, including positions at Rensselaer Polytechnic Institute, Duke University, and Case Western Reserve University. His experience includes significant roles in data science at NeoGenomics Laboratories and Wpromote before joining Ionpath.
Achievements
Raghav Padmanabhan has co-authored several research posters, including topics on adaptive immune responses in oral cavity squamous cell carcinoma and B-cell enrichment in breast cancer. He has also contributed to the development of an automated machine learning framework for multiplexed ion beam images. His research on multiplexed ion beam imaging has been presented at the Society for Immunotherapy of Cancer, highlighting his contributions to understanding the tumor-immune microenvironment.
Professional Experience
Raghav Padmanabhan has accumulated over a decade of experience in data science, particularly in healthcare. His previous roles include Director of Data Science at Wpromote, Lead Computational Biologist at NeoGenomics Laboratories, and Computational Biologist at GE Healthcare. He has demonstrated a proven track record in establishing data science teams and applying advanced algorithms to large-scale healthcare datasets.