Madilyn Lee Email & Phone Number

Danville, CA, US

• Validated AI patient model performance through rigorous testing of virtual clinical scenarios, enhancing accuracy and effectiveness via detailed analysis of user interactions.
• Documented and analyzed AI interactions, ensuring timely feedback that drove continuous improvements and supported quality assurance in AI development.
• Researched and compiled educational materials for PA, RN, EMT, and NP programs to facilitate ReelDx integration into healthcare curricula.
• Developed proposals for healthcare conferences, highlighting ReelDx's innovations and their relevance to contemporary healthcare challenges to strengthen organizational outreach.

La Jolla Shores, California, United States

• Managed a team of 17 student researchers by facilitating weekly meetings, organizing collaborative GitHub repositories, and effectively communicating among various medical research groups
• Utilized machine learning libraries such as TensorFlow and PyTorch that provided the framework of the CNN models for analyzing medical data
• Integrated advanced convolutional neural network architectures such SegNet, UNet, and UNet++ to perform in depth analysis of complex medical datasets, optimizing insights and improving diagnostic accuracy
• Spearheaded research in automating image segmentation in order to enhance the process of diagnosing and treating liver diseases like NAFLD and NASH