Zhuoning Yuan

Zhuoning Yuan, Ph.D. student, Computer Science

Improves diagnoses with machine learning

Hometown: Henan, China
Faculty mentor/advisor: Tianbao Yang, Associate Professor
• What is your degree program and expected graduation date? Ph.D. in Computer Science, May 2022
Please describe your research: My research focuses on developing robust machine learning solutions to diagnose diseases from imbalanced medical images, such as melanoma and pneumonia.
In simple terms, why does this research matter? Medical data suffers from a very imbalance problem due to the expensive cost to acquire and label the positive samples. Therefore, developing robust disease diagnosis solutions using limited data is very essential.
How soon after starting at the University of Iowa were you able to participate in research? I started research in my first year at University of Iowa.
How has being involved in research made you more successful at the University of Iowa? The knowledge and skills I acquired from many research projects – problem solving, critical thinking, programming, collaborating with others, etc. – enhance my expertise in machine learning and will benefit my further career developments.
What are your career goals and/or plans after graduation? My career goal is to use what I learn in machine learning to develop practical and robust tools to facilitate people’s lives.
Does your research have connections to or implications for COVID-19? Please explain.   I develop a robust framework to train deep learning models to detect chest and lung diseases (e.g., pneumonia and lung lesion) from X-ray images, which can be directly applied to training models to detect COVID-19 from chest X-ray images.

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