Published 13 February 2020
Whether it is a forgotten shelf of classics in a large library, or a tiny collection of cells with special properties in our immune system, the presence of rare events in a large sample is often very hard to detect without precise guidance. The problem gets computationally even harder if the search space has many dimensions. Dr. Saumyadipta Pyne of PHDL led an inter-disciplinary team of researchers from Europe, Asia and the United States to develop an efficient solution using a Bayesian hierarchical model and powerful parallel inference.