Dr. Reichow’s current research interests include the translation of research to practice, the use of systematic review methods and meta-analytic methods to identify evidence-based practices, and applied research involving young children with or at risk of developing disabilities and their families. 

Dr. Brian Reichow is an Associate Professor of Public Health Sciences and Associate Director of the University of Connecticut Center for Excellence in Developmental Disabilities Education, Research, and Service. His current research interests include the translation of research to practice, the use of systematic review methods and meta-analytic methods to identify evidence-based practices, and applied research involving young children with or at risk of developing disabilities and their families. He has been a technical advisor for the World Health Organization for over a decade assisting WHO with the development of practice guidelines and training materials to increase the identification, management, and treatment of children with developmental disabilities in lower- and middle-income countries. This work recently led to the release of the World Health Organization Caregiver Skills Training for Families of Children with Developmental Delays or Disabilities (https://openwho.org/courses/caregiver-skills-training), an open-source program that is available freely through WHO. Dr. Reichow is currently Co-Editor in Chief of the Journal of Early Intervention, the leading journal in the field of early childhood special education and early intervention and is Co-Editor of the Disability Coordinating Group of the Campbell Collaboration and Campbell Systematic Reviews.

Dr. Dillon is an Assistant Professor in the Center on Aging with a faculty appointment in the Department of Public Health Services. She is a sociologist and health services researcher who works closely with the Center on Aging team focused on evaluation of innovations in Connecticut Department of Social Services policy and programs for older adults and people with disabilities. She uses mixed methods and qualitative research to evaluate how to improve serious illness care and experience for patients and families, especially in the areas of hospice and palliative care, psychosocial care, and shared decision making. Her research also commonly focuses on access to and delivery of mental health care and the psychosocial well-being of patients, families, clinicians and other healthcare workers.

Dr. Lu is a new professor with tenure who was recruited from the Department of Medicine of Brigham and Women’s Hospital and Harvard Medical School where he served as the director of biostatistics for the Section of Clinical Sciences, and an associate professor of medicine at Harvard. He also previously worked at Brown University. His research expertise is design and analysis of clinical trials and observational studies, epidemiology and outcomes research in chronic diseases including rheumatic diseases, osteoarthritis, and cardiovascular diseases. He brings with him two active NIH RO1 grants.

Dr. Lu is a Professor in Biostatistics and Epidemiology. He has a multidisciplinary background in biostatistics, epidemiology, and medicine, with specific teaching and research interests in longitudinal analysis, design and analysis of clinical trials, statistical methods in epidemiology, and outcomes research of chronic diseases. As the PI, Co-I and lead biostatistician, Dr. Lu has been involved in numerous established and innovative projects in a variety of areas including rheumatoid arthritis, osteoarthritis, cardiovascular disease, lupus, obesity, and women’s health. He has extensive experience in studies using large epidemiological data including the Nurses’ Health Study (NHS), Osteoarthritis Initiative (OAI), Women’s Health Initiative (WHI), and National Health and Nutrition Examination Survey (NHANES).​

Dr. Lu is an elected fellow of the American College of Epidemiology. He has served as an Associate Editor for Contemporary Clinical Trials, an international journal of clinical trial methodology, and Associate Editor for Arthritis & Rheumatology, a prestigious journal of the American College of Rheumatology. Dr. Lu’s statistical interests include design and analysis of clinical trials & observational studies, statistical methods in epidemiology, longitudinal data analysis, and causal inference.