Summary
Runyu Hong is a Senior Scientist and AI/ML leader with eight years of experience applying deep learning and statistical methods to biomedical imaging and omics for biomarker discovery and clinical impact. Currently at Regeneron, he builds predictive models and analytical pipelines for histology-based omics while translating results across interdisciplinary teams. His background spans industry and academia—driving revenue-boosting recommendation systems at BCG, real-world evidence modeling at Novartis, and PhD-level research in computational biomedicine at NYU focused on histopathology and proteogenomics. He pairs rigorous quantitative training (Biochemistry & Mathematics B.S., MPhil/PhD) with business-savvy analytics credentials from Harvard Business School Online, enabling both scientific depth and product-oriented outcomes. Colleagues describe his approach as simplicity-first: favoring elegant, interpretable solutions that scale from research code to production pipelines.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) with Honors, Biochemistry and Mathematics, GPA: 3.984/4.000, Bachelor of Science (B.S.) with Honors, Biochemistry and Mathematics, GPA: 3.984/4.000 at University of Wisconsin-Madison
Master of Philosophy - MPhil, Computational Biomedicine, GPA: 3.68/4.00, Master of Philosophy - MPhil, Computational Biomedicine, GPA: 3.68/4.00 at New York University
Other; Certificate in Business Analytics, Complete & Pass, Other; Certificate in Business Analytics, Complete & Pass at Harvard Business School Online
Chinese, Chinese, English