Jingran (Spencer) Wang

Hello! I'm Jingran Wang (Spencer), a dedicated Bioinformatics student at Soochow University with a strong passion for machine learning and computational biology. With a perfect 4.0 major GPA and top class ranking, I'm currently expanding my expertise through the Berkeley Global Access Program at UC Berkeley, studying AI and Machine Learning.

My research focuses on developing interpretable machine learning tools for biomedical applications. Some key projects include:

• protPheMut: An interpretable ML tool for classifying cancer and neurodevelopmental disorder variants (Tool Website | bioRxiv Paper)
• PTEN Mutation Research: Revealing molecular mechanisms of mutations shared by cancer and autism (JCIM Publication)
• BMINet: A framework for osteoporosis classification using CT scans (Python Package | medRxiv Paper)

I've also collaborated with institutions like UC San Diego School of Medicine (visiting scholar), Yale School of Public Health (research training), and Chinese Academy of Sciences (research assistant) on projects ranging from Deep Learning in GWAS modeling to enzyme function prediction. My work has been published in the Journal of Chemical Information and Modeling, Bioinformatics (under review), and featured on multiple preprint platforms.

Beyond research, I volunteer in mental health initiatives using AI and enjoy staying active through badminton and running. I'm always eager to discuss new opportunities at the intersection of biology and computation!