Results for Clinical Data Science

Dr. Utidjian is a pediatric hospitalist and clinical informatician who is interested in clinical decision support and the secondary use of electron health records data for research.

Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.

Dr. Kadauke is the assistant director of the Cell and Gene Therapy Laboratory at CHOP, where he splits his time between developing GMP cell therapies and clinical data science. His research focuses on mitigation of adverse effects after CAR-T therapy and after blood and marrow transplantation.

Dr. Li conducts methodological research in causal inference, unmeasured confounding, missing data, longitudinal analysis, survival analysis, mediation, Bayesian analyses, and survey methods.

Dr. Resnick's research focuses on the cell signaling mechanisms of oncogenesis and tumor progression in brain tumors. He studies signaling cascades and alterations to elucidate the molecular and genetic underpinnings in order to develop targeted therapies. As co-director of the Center of Data-Driven Discovery in Biomedicine, he leads a multidisciplinary team building and supporting a scalable, patient-focused healthcare and educational discovery ecosystem.

Dr. Huang works on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She also works on data integration in Clinical Research Networks.

Dr. Ding is an attending physician with the Cancer Center at CHOP. As for her research, she works to discover oncogenic co-dependencies using genomics data with the goal to develop novel precision medicine techniques for children with cancer. She focuses on high-risk leukemias and computational biology.

Dr. Forrest's research focuses on developing novel ways of conducting multi-center pediatric applied clinical research, child health services and outcomes research, pediatric person-reported outcome measure development and application, life course health science, learning health systems science, and policies and programs that promote the lifelong health of children. He has a particular interest in the concept and measurement of health.

Dr. Tunç is a computational scientist investigating the application of machine learning and statistical data analysis in various domains such as digital phenotyping, nature of psychopathology, and neuroimaging. He participates in studies using normative, developmental, and clinical samples to parse heterogeneity in psychiatric disorders by developing novel computational techniques.

Whitney Guthrie, PhD, is a clinical psychologist and scientist at the Center for Autism Research. Dr. Guthrie’s research focuses on the early developmental trajectories that characterize autism spectrum disorder with the ultimate goal of improving early detection and intervention.