Peiyuan Mao Graduated from Yale University with PhD in Physics. He worked on structures and energy distributions of supermassive black holes for six years under the supervision of Professor Meg Urry. He also have experience of dealing with a lot of data and simulation and coding in Python and C++ on a daily basis. In 2017, Peiyuan Mao joined Akuna Capital as one of the first two quantitative researchers in the firm to apply his numerical and mathematical expertise to the financial market, focusing on signal and strategy research in the alpha domain.