Tin Tin Cao

Tin Tin Cao is a data scientist with extensive experience in machine learning and data analysis. Currently serving as a Data Scientist Fellow at Springboard since June 2022, Tin Tin Cao specializes in machine learning modeling to tackle various problems. Previously, as a Data Scientist at Chambertin Trading Co., Ltd from September 2019 to March 2022, Tin Tin Cao developed key technologies for a wine trading system, focusing on market trends and competitiveness. Prior experience includes a Postdoctoral Researcher role at Tel Aviv University from July 2016 to June 2019, where Tin Tin Cao conducted data analysis for the ATLAS experiment and contributed to hardware design for the Large Hadron Collider at CERN. Tin Tin Cao's early career includes a position as a Research Assistant at Southern Methodist University, also working on the ATLAS experiment. Tin Tin Cao holds a PhD in Elementary Particle Physics from Southern Methodist University and a Bachelor's degree in Engineering Physics/Applied Physics from Tsinghua University.