Evan Schwab, Ph.D.
About Evan Schwab, Ph.D.
Evan Schwab, Ph.D., serves as a Staff Computer Vision Scientist at Epic Sciences in San Diego, California, where he has worked since 2022. He has over five years of experience in medical imaging and has held various roles, including Senior Data Scientist at Janssen Pharmaceuticals and Research Scientist at Philips.
Work at Epic Sciences
Evan Schwab, Ph.D., has been serving as a Staff Computer Vision Scientist at Epic Sciences since 2022. In this role, he focuses on leveraging computer vision techniques to enhance medical imaging processes. His work contributes to the company's mission of providing clarity in diagnostics and treatment through advanced technology. Based in San Diego, California, he collaborates with a team of experts to develop innovative solutions that improve patient outcomes.
Previous Experience in Medical Imaging
Prior to his current position, Evan Schwab held several roles in the medical imaging field. He worked as a Senior Data Scientist at The Janssen Pharmaceutical Companies of Johnson & Johnson from 2020 to 2022. Before that, he was a Research Scientist at Philips from 2017 to 2020, where he focused on developing imaging technologies. Additionally, he completed two internships at Siemens Healthineers in 2014 and 2015, gaining experience in neuroimaging research.
Education and Expertise
Evan Schwab earned his Ph.D. in Electrical and Computer Engineering from The Johns Hopkins University, where he studied from 2011 to 2017. He also holds a Bachelor of Arts in Mathematics from Cornell University, completed in 2010. His academic background provides a strong foundation for his expertise in solving complex problems related to medical imaging, including disease classification and signal reconstruction.
Research and Development Skills
Evan Schwab specializes in developing machine learning solutions tailored to medical imaging applications. He has over five years of industry experience with various imaging modalities, including MRI, fMRI, dMRI, CT, X-ray, and Histopathology. His skills include segmentation, localization, feature extraction, and mathematical modeling. He has led project teams for over two years, establishing visions and strategies from inception to deployment.
Background in Research
Before entering the industry, Evan Schwab worked as a Research Associate at Harvard Medical School from 2010 to 2011. This role provided him with foundational research experience in a prestigious academic environment. His early career in research has informed his subsequent work in the medical imaging sector, where he applies rigorous scientific methods to practical challenges.