Victor Dibia

Principal Research Software Engineer

À propos

I am a Principal Research Software Engineer at the Human-AI eXperiences (HAX) team, at Microsoft Research where I focus on Generative AI. My interests are at the intersection of human-computer interaction (HCI), computational social science, and applied machine learning. My research has been published at conferences such as EMNLP, AAAI, and CHI and has received best paper awards. My work has also been featured in outlets such as the Wall Street Journal and VentureBeat.

At Microsoft Research I have led efforts to develop and understand metrics used to evaluate code generation models (GitHub Copilot) (ACL 2023 paper, patent), helped lead efforts in LLMs for Automated Data Visualization (ACL 2023, Code on GitHub) and have contributed to tools for multi-agent AI application development (AutoGen).

I hold a PhD in Information Systems from City University of Hong Kong (recipient of the HKPFS scholar award by the Hong Kong Research Grants Council) and an MSc in Information Networking from the Information Networking Institute at Carnegie Mellon University. I previously worked as a Principal Research Engineer at Cloudera Fast Forward Labs, Research Staff Member at IBM Research, Technical Lead for MIT Global Startup Labs, Researcher at the Innovation Management Lab, Athens Information Technology Athens Greece, and founder/lead developer for a small startup focused on West African markets.

Additional details on my work and interests can be found on my personal website – https://victordibia.com.