Colleagues & Co-Investigators
Co-Investigators and Colleagues from the University of Michigan
- Chad M. Brummett, M.D.
- Michael E. Geisser, Ph.D
- Jennifer Glass, Ph.D
- Grant Krueger, Ph.D
- Sawson (Suzie) As-Sanie, M.D. MPH
- Quentin Clemens, M.D.
- Bradley R. Foerster, M.D.
- Geoffrey Gerstner, D.D.S., M.S., Ph.D.
- Norah L. Henry, M.D., Ph.D.
- Myria Petrou, MB, ChB.
- Kristine Phillips, M.D., PhD
- Barbara D. Reed, M.D., M.S.P.H.
- Roni M. Shtein, M.D.
- Ellen L. Smith, Ph.D., APRN, AOCN
- Ann Oldendorf, M.D.
- Alexander Tsodikov, Ph.D.
- Suzanna M. Zick, ND MPH
- Ann Vincent, MD (Mayo Clinic, Rochester, MN)
- Vitaly Napadow, PhD (Massachusetts General Hospital/Harvard Medical School, Boston, MA)
- Yvonne Lee, MD (Brigham and Women's Hospital/Harvard Medical School, Boston, MA)
- Mark Lumley, PhD (Wayne State University, MI)
- Jennifer Potter, PhD, MPH (University of Texas Health Science Center, San Antonio, TX)
- Donald A. Robin, Ph.D (University of Texas Health Science Center, San Antonio, TX)
- Tobias Schmidt-Wilcke, M.D.
Chad M. Brummett, MD.
Dr. Brummett is an Assistant Professor (tenure-track) in the Department of Anesthesiology at the University of Michigan. He completed his residency in anesthesiology at the University of Michigan and fellowship in pain medicine at Johns Hopkins University. His clinical roles include chronic pain management, interventional pain medicine, acute pain management, regional anesthesia, and operating room anesthesia. Dr. Brummett’s research interests and clinical responsibilities revolve around acute perioperative pain management and chronic pain, including chronic post-surgical pain. Under the mentorship of Dr. Clauw and other co-investigators from the CPFRC, Dr. Brummett has directed a study of post-surgical outcomes, including lower extremity total joint arthroplasties.
Michael E. Geisser, Ph.D.
Michael Geisser, Ph.D., received his doctorate in Clinical Psychology from the Finch University of the Health Sciences/Chicago Medical School in 1988, and completed his internship in the Department of Clinical and Health Psychology at the University of Florida that same year. He currently is an associate professor in the U-M Department of Physical Medicine and Rehabilitation and is director of research for the Spine Program. Geisser's research interests include: studying the influence of psychosocial factors on the experience of acute and chronic pain; psychophysical assessment of pain; treatments for chronic pain and disability; and psychosocial factors associated with the progression and maintenance of pain. His primary interest is studying chronic back pain, although he also is involved in studies on fibromyalgia, spinal stenosis, and neuropathic and central pain.
Jennifer Glass, Ph.D.
Jennifer Glass, Ph.D., received her doctorate in Cognitive Psychology from the University of Michigan in 1996 and currently is an assistant research scientist at the Institute for Social Research and the Department of Psychiatry at the University of Michigan. Her research focus is on cognitive function in special populations, including the elderly, alcoholics, fibromyalgia patients and others with chronic pain and/or fatigue. Her current research with the Chronic Pain and Fatigue Research Center examines attention, memory and executive control function in fibromyalgia patients, as well as the role of exercise and sleep deprivation as triggers for chronic pain and fatigue symptoms.
Grant Kruger, Ph.D.
Grant H. Kruger, Ph.D., is a Research Investigator in the departments of Mechanical Engineering and Anesthesiology at the University of Michigan. He received his doctorate in Electrical Engineering from the Nelson Mandela Metropolitan University, South Africa in 2005. After graduating Dr. Kruger lectured in the Department of Mechatronics before pursuing his postdoctoral research at the University of Michigan in 2007. His research and publications cover areas from manufacturing to biomedical engineering. Dr. Kruger's current research focuses on health informatics, specifically the research and development of systems, devices and signal processing based on artificial intelligence technology.