We study the basic biology of how genes are regulated in the mammalian genome in concert with how sequence variation in the human population affects this and predisposes towards disease. Due to the PI's combined molecular and bioinformatic background, the group uses a fusion of molecular genomics, genome engineering, synthetic biology, computational biology, and machine learning approaches as tools in its research. We have a track record in developing genomics-based technologies to investigate genome biology such as the Capture-C family of Chromosome Conformation Capture (3C) technologies, transcriptomic methods such as scaRNA-seq, as well as Machine Learning approaches such as deepC to predict function from genome sequence.