Dr. Joan S. Chmiel has been on the faculty of Feinberg School of Medicine, Northwestern University, since January 1979 and a member of The Graduate School faculty of Northwestern University since 1988. Her previous academic experience includes 2-1/2 years in the Department of Statistics at the University of Chicago and one year in the Department of Mathematics at the Massachusetts Institute of Technology. Her PhD degree in Statistics was awarded by Stanford University in 1975. Dr. Chmiel was elected a Fellow of the American Statistical Association (ASA) in 1997. Dr. Chmiel is a member of numerous professional statistical organizations and she has held a variety of leadership positions in these organizations. She served on the Regional Advisory Board of the International Biometric Society, Eastern North American Region (ENAR) in 1989-1991, and was ENAR Program Chair for the 1994 Spring ENAR meetings. She served as an elected member of the Regional Committee of ENAR in 1998-2000. Dr. Chmiel was elected Council of Sections Representative for the Biometrics Section of the ASA (1997-1999) and Chair of the ASA Biometrics Section for 2002. Dr. Chmiel served as an elected Council of Chapters Representative on the ASA Board of Directors for 2004-2006. She is the ASA representative to the Committee of Presidents of Statistical Societies (COPSS) F.N. David Award Committee for 2009-2012. She recently served as a chartered member of the Acquired Immunodeficiency Syndrome Research Review Committee (AIDSRRC) for the National Institute of Allergy and Infectious Diseases, National Institutes of Health (2004-2008). Previously she was a member of the Epidemiology and Disease Control Study Section, Subcommittee 2, Division of Research Grants, National Institutes of Health (1991-1995). Since 1997 Dr. Chmiel has been the Consulting Statistician for the Journal of the American College of Surgeons. She currently serves as a statistical reviewer for several other major journals. Research InterestsDr. Chmiel’s current research interests are in the epidemiology of HIV-1 infection, statistical methods for the design and analysis of clinical and epidemiological studies of cancer, osteoarthritis and AIDS, and clinical trial design and analysis. |