Jessica is a PhD candidate in the Department of Biomedical Informatics at Stanford University. Her dissertation focuses works on developing computational models to understand cardiovascular-disease risk and progression using wearable devices. She uses machine-learning methods, focusing on deep-learning approaches, to quantify an individual's cardiovascular health and assess the risk of future health concerns. Before coming to Stanford, she received a B.S. and M.S. in bioinformatics from San Diego State University and worked as a bioinformatic specialist in the biotech sector. She holds a passion for teaching STEM and actively works to encourage underrepresented communities to pursue STEM careers.