Biofourmis
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.
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Biofourmis
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Biofourmis is a fast-growing digital health company filled with committed, passionate people who care about augmenting personalized care and empowering people with complex chronic conditions to live better and healthier lives. They are pioneering an entirely new category of medicine, by developing clinically validated software-based therapeutics to provide better outcomes for patients, smarter engagement and tracking tools for clinicians, and cost-effective solutions for payers. Biofourmis has built Biovitals®, a highly sophisticated personalized AI-powered health analytics platform that predicts clinical exacerbation in advance of a critical event, which is the backbone of their digital therapeutics’ product pipeline across multiple therapeutic areas—including heart failure, oncology, acute coronary syndrome, COPD and chronic pain.