Dr. Gerber is an epidemiologist and full professor of healthcare policy and research with expertise in outcomes research related to hypertension, traumatic brain injury, and health disparities. She is involved in a number of observational studies that use a variety of quantitative approaches in their design and analyses. As the founding Director of the Biostatistics and Research Methodology Core at Weill Cornell Medical College, she has worked with many investigators assisting them with their research design and analyses concerns. She has extensive experience as a teacher and a mentor, working in the past with many residents, fellows, and clinical researchers, mentoring and supporting them in research design, protocol development, database management, analyses, and writing reports. She also teaches Study Design in the Biostatistics and Data Science Master’s program in Weill Cornell Medicine’s Graduate School of Medical Sciences.
Mary Gallagher, DNP, RN, Ped-BC, Director of Nursing at NewYork-Presbyterian Hospital and adjunct professor at Adelphi University. Throughout her career, she has led improvement initiatives, managed extensive service lines, and facilitated strategic financial initiatives. Quality and safety, the heart of her work, has driven her focus on reducing patient and staff harm credited to harnessing a collective drive for excellence. Dr. Gallagher is an experienced American Nurses Association and New York University Rory Meyer College of Nursing mentor and preceptor for graduate nurses’ performance improvement and research projects. She is experienced in research design and analysis. Mary is a graduate of the IHI Improvement Ambassador program.
Dr. Wenna Xi is Instructor in Population Health Sciences at Weill Cornell Medicine. She received her PhD in Biostatistics from The Ohio State University and joined the Department of Population Health Sciences in 2019 for her postdoctoral training. Her primary research focuses on using big data (e.g., EHR, claims, survey, and social media data) to study youth suicide and disparities in mental health care. Her areas of expertise in statistical methodology include: co-location networks, survey data analysis, survival analysis, longitudinal data analysis, spatial statistics, Bayesian modeling and computation, mixture models, and data visualization.
Thomas R. Campion, Jr., Ph.D. leads Weill Cornell Medicine's efforts to support clinical and translational investigators with electronic patient data, especially through the secondary use of electronic health record (EHR) data. Dr. Campion is Associate Professor of Research in Population Health Sciences in the Division of Health Informatics. As Chief Research Informatics Officer in the Office of the Senior Associate Dean for Clinical Research and the Information Technologies & Services Department (ITS) as well as Director of Biomedical Informatics in the Clinical & Translational Science Center (CTSC), he leads the Architecture for Research Computing in Health (ARCH) program, which matches scientists with tools and services for obtaining electronic patient data. His research interests include electronic infrastructure to support clinical and translational scientists, measurement of the biomedical research enterprise, computable phenotyping, clinical decision support, health information exchange, and organizational issues in informatics. He earned a master of science and doctor of philosophy in biomedical informatics from Vanderbilt University and a bachelor of arts in organizational studies and German from the University of Michigan.
Evan Sholle is an informatics professional and researcher at Weill Cornell Medicine. As assistant director of research informatics data science services at WCM, Mr Sholle coordinates research informatics efforts across the institution, liaising with investigators directly to determine their requirements and matching them with the appropriate tools and services that best meet their needs. These responsibilities also drive his research activities, which revolve around secondary use of electronic health record data to facilitate population-level research. Both his research and his operational work stress the use of novel informatics methodologies that allow for the imputation of higher-order predictors of patient outcomes from unstructured and semi-structured patient data, such as the use of natural language processing to extract social determinants of health data from clinical free text or machine learning approaches towards risk stratification and modeling of disease state. They also rely on more traditional informatics initiatives, such as the use of data standards (e.g. OMOP, i2b2), structured reference terminologies, and data warehousing to facilitate clinical research across the spectrum of conduct, from preparatory-to-research cohort discovery to replication studies.
Ericka Fong is the Program Manager of the Quality Improvement Academy. She has worked at Weill Cornell Medicine for over 17 years with a background in financial management. She worked in the Department of Genetic Medicine for 8 years before transferring to the Department of Medicine. Her interests in QI started while working for Hospital Medicine which led her to join QIA in March 2020, closely working with project teams on all aspects of development from charter design and regulatory compliance to final presentation and publication.
