Soujanya Chatterjee, a Ph.D. candidate at the University of Memphis, is a skilled researcher with years of experience in Machine Learning, AI, and Mobile & Digital Health. Soujanya designs and develops computational models for detecting human behaviors, mental-health states, pulmonary health, and novel 'Spatio-Behavioro-Temporal' contexts. Soujanya has published six papers, including four in top-tier computing venues, one patent, and one book chapter. GlaxoSmithKline has approached Soujanya for potential usage of their work in mCrave. Soujanya's research facilitates the design of sensor-triggered interventions, delivered at the time of need. They are proficient in several programming languages, including Python, Java, R, SQL, and MATLAB, and several ML frameworks like Scikit-learn, Pandas, Scipy, Keras, pySpark, and Android. Soujanya has experience analyzing large-scale wearable sensor data and has collaborated with computing and health researchers from several institutions.