KE SANG

KE SANG is an experienced machine learning engineer and data scientist with a diverse background in data analysis and model development. The professional journey includes roles at Melinae as a Data Scientist Intern, where KE SANG focused on predictive modeling techniques, and at Strap as a Data Scientist, specializing in IoT data and machine learning algorithm design. At Indeed.com, as a Machine Learning Engineer/Data Scientist, KE SANG honed skills in full-stack data science and mentoring. Subsequently, KE SANG worked as a Senior Machine Learning Engineer at SmartNews, Inc., developing news ranking systems, before joining Meta to optimize large-scale neural network models. Educational qualifications include a Ph.D. in Cognitive Science from Indiana University Bloomington, a Master's in Experimental Psychology from East China Normal University, and a Bachelor's in Clinical Medicine from Fudan University.