Tuhin Sheikh is a Ph.D. student in Statistics at the University of Connecticut (UConn). He worked as a Biostatistics and Data Science Intern at the Boehringer Ingelheim in Summer 2020. His research areas of interest include competing risks survival data, Bayesian computation, joint modelling of longitudinal and survival data, model assessment, interim analysis, deep neural network, etc. He has experience as a research assistant with the UConn School of Nursing and, UConn Utility Operations and Energy Management. He has also experience in teaching undergraduate level Statistics courses and conducting workshops at international conferences. He has been awarded for his academic excellence in teaching.

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