Ulie Schnaithmann is a Machine Learning Scientist at the medical imaging start-up Arterys, helping enhance the radiology workflow with Deep Learning.
After double majoring in Computer Science and Psychology, Ulie started a Master’s in Data and Knowledge Engineering, focusing on Machine Learning. During graduate school at Otto-von-Guericke University in Germany, she was doing research into aneurysm detection in MRI scans.
While completing her degree, she wanted to solve real-world challenges and joined Arterys in San Francisco. In collaboration with the company she wrote her thesis on Transfer Learning in medical image segmentation.
Ulie has several years of experience in Machine Learning, as well as Software Engineering and is passionate about advancing Healthcare with the help of Artificial Intelligence.