Summary
Gaofeng Huang is a Data Scientist with seven years of experience and a strong focus on applied machine learning and computer vision for medical imaging. Currently at Carina AI, he has built and productionized FDA-aligned algorithms for 2D and 3D modalities (X-ray, CT, PET, MR), spanning classification, detection, segmentation, and image enhancement while optimizing performance with GPU parallelism. He pairs a rigorous MS in Data Science (4.0 GPA) with hands-on research experience, maintaining and tuning models to state-of-the-art levels and conducting statistical analysis for robust experimental validation. Gaofeng also brings teaching experience in machine learning and GANs from The George Washington University, reflecting an ability to communicate complex ideas and design coursework. Based in Washington, DC, he combines an economics undergraduate background with deep technical expertise, making him adept at bridging domain knowledge, research, and deployed AI products.
7 years of coding experience
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at The University of Nottingham Ningbo China
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at University of Nottingham
Master of Science - MS, Data Science, GPA: 4.0/4.0, Master of Science - MS, Data Science, GPA: 4.0/4.0 at The George Washington University