Tian Guo

Tian Guo, PhD, is a Senior Quantitative Researcher at RAM Active Investments, where responsibilities include developing quantitative investing strategies in the systematic equity team, particularly focusing on feature extraction and text representation from unstructured data. Additionally, Tian serves as a Machine Learning Tech Advisor at Aisot GmbH. Prior experience includes postdoctoral research at the Swiss Federal Institute of Technology Zurich, concentrating on interpretable deep learning and Bayesian methods, as well as a doctoral research assistantship at EPFL, where Tian earned a Ph.D. in Computer Science. Educational background includes a Master's degree in Robotics from Shanghai Jiao Tong University and a Bachelor's degree in Automation from East China University of Science and Technology.