Developing and optimizing algorithms for processing physiological signals from wearable patch devices, improving data accuracy and performance for healthcare applications. Designing and implementing data models using R and Matlab for wearable device signal processing, contributing to enhanced analysis and interpretation of physiological data in real-time.

Performing statistical assessments on clinical actigraphy data in individuals diagnosed with severe depression in order to verify treatment effect estimates employing R. Engaged in a cooperative effort with a cross-functional group consisting of researchers, clinicians and undergraduate students to synchronize research results with project objectives

Conducting statistical analyses on clinical trial data related to peanut allergies in infants utilizing simple linear regression models and mixed-effect models to improve current diagnostic approaches using R & SAS. Also collaborated with a multidisciplinary team of researchers, clinicians and data scientists to align findings with project objectives