Developed a non-contact, machine-learning-based system to predict Emotional Intelligence, achieving 84% accuracy, while leading experimental research and designing participant-facing research protocols. Designed multi-stage experimental setups and longitudinal testing frameworks to investigate emotional and physiological responses, with a focus on research validity, participant experience and data integrity.