Tianfang Zhang is a Quantitative Researcher at Lynx Asset Management since August 2022, previously working as an AI Scientist at Silo AI where contributions included developing production-grade machine learning solutions. Prior to that, Tianfang held various roles at RaySearch Laboratories from September 2015 to March 2022, including Senior Research Engineer and Industrial PhD Student, defending a thesis on probabilistic machine learning for automated radiation therapy treatment planning. Tianfang's expertise encompasses mathematical methods and programming in C#, C++, and Python, along with experience as a consultant and teaching assistant at KTH Royal Institute of Technology. Educational achievements include a PhD in Mathematical Statistics, an MSc in Applied and Computational Mathematics, a BSc in Engineering Physics from KTH, and a BSc in Business and Economics from the Stockholm School of Economics.
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