Chi-Yip Ho received his Ph.D. under the supervision of the late Prof. Michael Smith at the University of British Columbia, on structure-function studies related to the mating pheromone of yeast. His postdoctoral studies with Dr. Didier Stainier at the University of California, San Francisco focused on the genetic control of the heart development of the Zebrafish.
Since then his career has been dedicated to the development and application of tools for high-throughput functional genomics, by means of microarrays, next-generation sequencing, and high-performance computation technologies. Over the past decade and a half, he served as the scientific director of multiple high-throughput core facilities at the Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital/University of Toronto, and at the University of Chicago. His latest venture in big data acquisition involves joining entrepreneurs to develop state-of-the-arts NGS equipment based on solid-state nano-scale sensors.
In recent years, he takes interest on projects that accelerate the advances in connectomics, particularly electron microscopy (EM) image analyses of nerve systems. He currently helps strategizing the machine learning approaches to improve effectiveness of automated image analysis pipeline for the EM groups at the Lunenfeld-Tanenbaum Research Institute, and the Center for Computational Biology at the Flatiron Institute.