Emma Dionne

Emma Dionne is a dedicated undergraduate researcher at The Johns Hopkins University, where work in the SMARTS Lab focuses on using machine learning to enhance haptic feedback for the da Vinci Research Kit. Experience includes roles as a course assistant, computer engineering intern at Root3 Labs, and cloud software intern at EITR Technologies. Notable projects involve coding for microcontrollers, developing software for cloud resource management, and implementing machine learning algorithms for medical applications, achieving accuracies exceeding 81% in predictive modeling. Educational background includes a Bachelor of Science in Computer Engineering and Computer Science from The Johns Hopkins University and a high school diploma from The Harker School. Emma has contributed to research presentations and publications, demonstrating strong analytical and technical skills.