Research Assistant at Purdue University Elmore Family School of Electrical and Computer Engineering
West Lafayette, Indiana, United States
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Summary
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Senior
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Tianci Liu is a PhD candidate and research assistant at Purdue ECE with eight years of research experience building reliable, efficient, and trustworthy AI/ML systems. His work advances knowledge-grounded LLMs, focusing on precise, generalizable knowledge updates and efficient fine-tuning methods that scale to practical deployment. Tianci has a strong track record of high-impact publications (ICML, ICLR, NeurIPS, EMNLP) and industry research internships at Amazon and Microsoft where he translated editing and efficiency techniques into production-oriented solutions. He also explores fairness, integrity, and safety in ML, contributing novel methods for debiasing and robust representation learning. Based in West Lafayette, he bridges rigorous academic research with hands-on engineering, evidenced by both foundational theory and applied tools for LLM alignment. An interesting through-line in his work is combining lightweight intervention methods with principled evaluation to make large-model updates both practical and trustworthy.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Purdue University College of Engineering
Master of Science - MS, Master of Science - MS at University of Michigan - Rackham Graduate School
Bachelor of Science - BS, Bachelor of Science - BS at Xiamen University
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Tianci Liu - Research Assistant at Purdue University Elmore Family School of Electrical and Computer Engineering