Projects

A collection of projects and experiences that highlight my work in technology, problem-solving, and innovation.

OncoAssist

A software developed at A.C.Camargo Cancer Center that implements a questionnaire to collect actionable patient information. This data is then used to automatically train a machine learning model to predict the risk of hypocalcemia in newly registered patients, using SHAP to justify the classification result. It won the Alumni award in NextFrontiers' 24.

photo

WSI2ML

A software I developed during my Ph.D. for annotating Whole Slide Images. This web-based software facilitates efficient delegation, tracking, and validation of machine learning annotation tasks for histopathology images, utilizing technologies like Flask, SQLAlchemy, Vue, and OpenSlide.

photo