Summary
Kai-hui Liang is a research-focused engineer blending a decade of industry and academic experience to design human-centered AI and conversational systems. Currently a Research Associate at Columbia Business School, he studies how personality and disposition shape negotiation dynamics and conversational outcomes. His PhD work at Columbia and UC Davis spanned HCI, NLP, and conversational AI with publications across CSCW, ACL, SIGDial and applied projects in digital health and language learning. Kai-hui led a 13-person team to a top-five finish in the Amazon Alexa Prize, deploying a voice socialbot used by thousands, and previously built Android and IoT apps in startup settings. He brings a pragmatic engineering mindset from stints at Amazon Alexa and Sixnology to rigorous, empathy-driven research aimed at technologies that support people in vulnerability. Beyond technical depth, he’s motivated by psychological safety and designing agents that nurture resilience, not just efficiency.
10 years of coding experience
6 years of employment as a software developer
PhD Student Computer Science, PhD Student Computer Science at University of California, Davis
Master's degree Chemical Engineering, Master's degree Chemical Engineering at National Taiwan University
PhD Candidate Computer Science, PhD Candidate Computer Science at Columbia University
Chinese, English