He received his PhD degree in computational biology from Washington University in Saint Louis, followed by postdoctoral training in systems biology at the University of California San Diego. Dr. Tan’s research focuses on understanding gene regulatory networks in normal and disease development. His laboratory has developed a number of algorithms for modeling and analyzing gene regulatory networks. He serves on the editorial board of PLos Computational Biology and BMC Genomics. He is a member of Genomics, Computational Biology and Technology study section of NIH. He has served on the organization and program committees of international conferences including BIBM, ISMB, and RECOMB.