Stephen Voida is an Assistant Professor and founding faculty member in the Department of Information Science, an Adjunct Assistant Professor in the Department of Computer Science, a seed grant awardee in the Crown Institute, and a faculty fellow in the ATLAS Institute and Institute of Cognitive Science at the 彩民宝典. Dr. Voida directs the Too Much Information (TMI) research group at CU, where he and his multidisciplinary team of students conduct empirical, design, and systems research in the areas of personal informatics, personal information management, and mental health informatics. His research has been recognized with best paper awards and nominations at several of the top conferences in his field, including ACM CHI and CSCW. His research has been supported by Google Research, the National Science Foundation, and a Computing Research Association Computing Innovation postdoctoral fellowship, and his work has appeared in the New York Times, the Wall Street Journal, The Atlantic, , and on the APM Marketplace Tech Report. Dr. Voida earned his Ph.D and M.S. degrees in Computer Science and Human鈥揅omputer Interaction, respectively, from the Georgia Institute of Technology and his B.S. in Computer Science from Arizona State University. More information can be found on his website,