Summary
Linbo Tang is a data scientist and engineer with 11 years of experience bridging research and teaching, currently a Harvard MSDS student and Teaching Fellow for mathematical modeling and advanced data science. His research spans inverse problems in medical imaging and generative models for vision, including a scanner-adaptive, coil-level MRI denoising framework slated for ISBI 2026 and texture super-resolution work done with Ubisoft’s La Forge. He has a strong UW–Madison foundation in computer vision and latent-space analysis, and practical teaching experience mentoring students in Python, OOP, and data structures. Linbo combines academic rigor with industry-facing research, frequently translating theory into reproducible, application-focused systems. Based in Cambridge with cross-registration at MIT, he brings a rare mix of classroom pedagogy and hands-on model development that accelerates both student learning and translational research.
11 years of coding experience
2 years of employment as a software developer
Cross-registered EECS, Cross-registered EECS at Massachusetts Institute of Technology
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Wisconsin-Madison
Master of Science - MS Data Science, Master of Science - MS Data Science at Harvard University