Summary
Pin-yu Chen is a Principal Research Staff Member at IBM with eight years of experience advancing adversarial robustness, trustworthy AI, and graph learning for real-world security and data-mining applications. An IJCAI 2023 Computers and Thought Award winner and co-author of a book on adversarial robustness, she leads technical efforts that bridge theory, open-source tooling (notably contributions to IBM AIX360 and ART360), and deployable research. Her work spans deep neural network evaluation and defense, graph spectral methods for cyber analytics, and building practical ML safeguards used both internally and in the community. Based in Yorktown, NY, she also serves as Chief Scientist for the RPI-IBM AI Research Collaboration Program, amplifying academic–industry research impact. With a PhD from the University of Michigan and dual training in statistics and communications engineering, she combines rigorous theory with applied systems thinking. Less obvious: she translates deep technical advances into maintainable open-source artifacts that help organizations operationalize trustworthy ML.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS) Electrical Engineering and Computer Science Honors Program, Bachelor of Science (BS) Electrical Engineering and Computer Science Honors Program at National Chiao Tung University
Doctor of Philosophy (PhD) Electrical Engineering and Computer Science, Doctor of Philosophy (PhD) Electrical Engineering and Computer Science at University of Michigan
Master of Science (MS) Communications Engineering, Master of Science (MS) Communications Engineering at National Taiwan University
English, Chinese