Summary
Ruixiang Tang is an applied scientist with a decade of experience building trustworthy AI systems, currently interning at Microsoft where he focuses on privacy for large language models. His research bridges regulation and practical deployment of reliable LLMs in healthcare, with prior internships tackling medical dialogue privacy, watermarking for image translation, and interpretable recommendation systems. He holds degrees from Tsinghua and advanced PhD training at Texas A&M and Rice, blending rigorous academic foundations with hands-on industry impact. Ruixiang has applied deep learning to real-world medical problems, including breast cancer detection, showing a consistent focus on safe, clinically-relevant AI. Colleagues describe him as a researcher who combines technical depth in privacy and robustness with pragmatic system-building instincts.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rice University
High School Diploma, High School Diploma at The High School Attached to Hunan Normal University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M University
Bachelor's degree, Automation Engineer Technology/Technician, 3.5/4.0, Bachelor's degree, Automation Engineer Technology/Technician, 3.5/4.0 at Tsinghua University