Professional AssociationsProfessional Associations: ACM SIGKDD | ACM SIGSAC | American Mathematical Society (AMS) | American Medical Informatics Association | Association for the Advancement of Artificial Intelligence (AAAI) | IEEE Computer Society | IEEE Systems, Man, and Cybernetics Society | INFORMS | Institute of Industrial Engineers (IIE) | Society for Industrial and Applied Mathematics | Society of Women Engineers
Cao (Danica) Xiao is a Research Staff Member in the AI for Healthcare Team of IBM Research AI, located in Cambridge, Massachusetts. Before joining IBM, she got her Ph.D. degree from University of Washington, Seattle in 2016. Her thesis focused on machine learning and data mining with medical and healthcare applications. During her PhD training, she also worked as research intern at Group Health Research Institute in 2013, data scientist intern at LinkedIn from 2014 to 2015, and research intern at IBM Research in 2016, respectively.
Her research interests focus on developing machine learning and deep learning models to solve real world healthcare challenges. Particularly, she is interested in deep computational phenotyping, adverse drug reaction signal detection from heterogeneous real world evidence, causal inference from observational data, and translational informatics research (e.g., drug similarity for drug safety and discovery). The results of her research have been published in leading AI conferences including NIPS, ICLR, KDD, AAAI, IJCAI, SDM, ICDM, and top health informatics journals such as Nature Scientific Reports and JAMIA. She led a team to develop a mobile health (mHealth) app that won the national 3rd prize in the sixth IISE-CIS Mobile App Competition. She was also in the team that won the PPMI Data Challenge in 2016 (https://www.michaeljfox.org/foundation/grant-detail.php?grant_id=1518).