Summary
Ruofan Zhou is a quantitative analyst and PhD candidate in computer science at EPFL with 11 years of experience applying deep learning, computer vision, and computational photography to real-world problems. Currently at Systematica Investments, he blends research-grade modeling with production-minded engineering—an efficient coder who has supervised a dozen projects and moved ML research into applied settings. His background spans internships at Google and multiple research labs, working on object tracking, sentiment analysis, and non-informative content detection, reflecting a knack for extracting signal from noisy, large-scale data. Trained in algorithm competitions and fluent in both academic and industry workflows, he seeks data analyst or software engineering roles in Switzerland where he can fuse image-processing expertise with big-data analytics.
11 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Digital Entertainment Design, Bachelor's Degree, Digital Entertainment Design at Tsinghua University
Shanghai High School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
English, Chinese, French