Summary
Bowen Zhang is a Software and Data Engineer with nine years of experience blending statistical rigor and production engineering, currently building data-driven products at Discern.io in New York. He holds a Master's in Operations Research from Columbia and a BSc in Mathematics & Computer Science from McGill, and has applied ML and time-series methods to financial forecasting, attention-kernel research, and large-scale data extraction projects. Bowen’s background spans end-to-end data work—from extracting thousands of PDFs and designing databases to leading teams in kernel approximation and developing LSTM/FFN forecasting frameworks for 1,330 mutual funds. His adaptability and reflective approach, honed by studying abroad and learning from early-career mistakes at eToro, make him resilient when confronting ambiguous, real-world problems. He combines academic strength in random feature maps and attention methods with practical experience tuning models and shipping analytical solutions in industry.
9 years of coding experience
1 year of employment as a software developer
Master's Degree, Operations Research, Master's Degree, Operations Research at Columbia University
Bachelor of Science , mathematics and computer science, Bachelor of Science , mathematics and computer science at McGill University
Chinese, English