Nicholas Schaub
About Nicholas Schaub
Nicholas Schaub serves as the Assistant Director of Data Science at Axle Informatics, where he has worked since 2022. He holds a PhD in Biomedical/Medical Engineering from Rensselaer Polytechnic Institute and has extensive experience in developing image analysis algorithms and deep learning models.
Current Role at Axle Informatics
Nicholas Schaub serves as the Assistant Director of Data Science at Axle Informatics, a position he has held since 2022. In this role, he oversees data science initiatives and contributes to the development of advanced analytical solutions. His work is focused on leveraging data to enhance decision-making processes within the organization. Prior to this role, he was involved in various capacities at Axle Informatics, including Lead Data Scientist and Senior Data Scientist.
Previous Experience at Axle Informatics
Nicholas Schaub worked at Axle Informatics in multiple roles, including Senior Data Scientist from 2019 to 2021 and Lead Data Scientist from 2020 to 2022. During his tenure, he developed scalable image analysis and deep learning algorithms tailored for cloud computing applications. He also participated in a collaborative project with the National Institute of Standards and Technology (NIST) and the National Eye Institute (NEI) to create a high throughput, quantitative imaging system.
Educational Background
Nicholas Schaub holds a Doctor of Philosophy (PhD) in Biomedical/Medical Engineering from Rensselaer Polytechnic Institute, where he studied from 2011 to 2015. He also earned a Bachelor of Engineering (BEng) in Biomedical/Medical Engineering from Michigan Technological University from 2008 to 2010. Additionally, he studied Philosophy and Religious Studies at Franciscan University of Steubenville in 2006 and attended Muskegon Community College from 2002 to 2005.
Postdoctoral Research Experience
Nicholas Schaub has extensive postdoctoral research experience. He was a Postdoctoral Research Fellow at the University of Michigan Medical School from 2017 to 2019, where he focused on biomedical research. Prior to that, he worked at the National Institute of Standards and Technology (NIST) from 2015 to 2017, conducting research on drug delivery materials aimed at nerve regeneration and developing deep learning models to predict tissue function from microscopy images.