Dr. Tchetgen Tchetgen’s primary area of interest is in semi-parametric efficiency theory with application to causal inference, missing data problems, statistical genetics and mixed model theory. In general, he works on the development of statistical and epidemiologic methods that make efficient use of the information in data collected by scientific investigators, while avoiding unnecessary assumptions about the underlying data generating mechanism. He has a PhD from Harvard University, 2006 and a BS from Yale University, 1999.Awards and Honors include the Myrto Lefkopoulou Distinguished Lectureship, 2020; Co-winner of the Society of Epidemiologic Research and American Journal of Epidemiology Article of the Year, 2014; the Career Incubator Award, Harvard School of Public Health, 2013-2014; Co-winner of the Kenneth Rothman Epidemiology Prize, 2011; Best Poster Award: Gene Environment Initiative Symposium, Boston, MA, 2008; Yerby Fellowship, Harvard School of Public Health, 2006-2008; and Mars Scholar, Yale University, 1995-1996.