Xiyu Zhang

Xiyu Zhang is a Senior Data Scientist at Biofourmis, specializing in unsupervised learning, anomaly detection, and signal processing, with notable contributions in developing a machine learning model for COVID-19 screening that alerts clinicians to significant changes in patient vitals. Previously, Xiyu Zhang served as a Research Assistant at the University of Michigan, where an innovative Convolutional Dictionary Learning algorithm was proposed and implemented, and as a Software Engineer at Optofluidic Bioassay LLC, focusing on designing a closed-loop auto-pipetting system. Early experiences include a Research and Development Co-op at Philips, where simulation tools were developed for optimizing image quality in medical scanners, and a prior Research Assistant role at the University of Michigan, where Python programming was utilized to model gas chromatography processes. Xiyu Zhang holds both a Master of Science in Biomedical/Medical Engineering and a Data Science Certificate, along with a Bachelor of Science in Biomedical Engineering from the University of Michigan.