Summary
Tiankang Xie is an Applied Scientist II at AWS with eight years of experience applying probability, machine learning, and deep learning to quantify and analyze emotions. He holds a PhD in Quantitative Biomedical Sciences from Dartmouth and combines rigorous experiment design, A/B testing, and statistical analysis with skills in computer vision and data visualization to turn noisy behavioral signals into actionable insights. Comfortable in both research and production settings, he has moved from doctoral research to applied roles and internships at AWS, working on cloud and generative AI/LLM applications. Based in Hanover, NH, he brings a rare blend of theoretical grounding and product-oriented execution, often asking foundational questions like how to define and measure emotions as part of scalable ML systems.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics and Statistics minor Computer Science, Bachelor of Science (B.S.) Mathematics and Statistics minor Computer Science at University of Wisconsin-Madison
Doctor of Philosophy - PhD Quantitative Biomedical Sciences, Doctor of Philosophy - PhD Quantitative Biomedical Sciences at Dartmouth College
High School Degree Mathematics Physics Chemistry Economics Information Technology English, High School Degree Mathematics Physics Chemistry Economics Information Technology English at Suzhou High School
English, Chinese, German, Russian