Te obtained the Bachelor of Mathematics degree from the University of Waterloo, Canada, majored in statistics (2014-2019). He is also a candidate of a master degree of Data Science from the University of Michigan-Ann Arbor(2022). Before joining Guomics, he had 3-year experience working in the bio-industry companies as an algorithm engineer dedicating to leverage the power of AI to translate crucial insights from biological data. Te joined Guomics in July 2023 to continue his research and dive into the world of proteomics.