Hi, Victor here.
I'm an expert in Applied Machine Learning and HCI.

I am currently a Principal Research Software Engineer at the Human-AI eXperiences (HAX) team, Microsoft Research where I focus on Generative AI. My research 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 ACL, EMNLP, AAAI, and CHI and has received multiple best paper awards. My work has also been featured in outlets such as the Wall Street Journal and VentureBeat. I am an IEEE Senior member, a Google Certified Professional ( Data Engineer, Cloud Architect ) and currently a Google Developer Expert in Machine Learning.
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). My dissertation studied developer contribution behaviour in software crowdsourcing contests - factors influencing participation, the impact of incentives on participation behaviour and the problem solving process within crowdsourcing contests. Prior to City University, I studied at the Information Networking Institute at Carnegie Mellon University where I earned a Masters degree in Information Networking. 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.
In my free time, I enjoy music (some self taught guitar, piano), sports (participated in the Hong Kong Marathon thrice) and exploring art (some drawing, 3d modelling, african mask art).
All content on this site are my ideas and do not reflect opinions of my employer.

RECENT POSTS ..

RECENT PUBLICATIONS

2024

  • Data Analysis in the Era of Generative AI

    Jeevana Priya Inala,Chenglong Wang,Steven Drucker,Gonzalo Ramos,Victor Dibia,Nathalie Riche,Dave Brown,Dan Marshall,Jianfeng Gao
  • Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting

    Emmanuel Aboah Boateng,Cassiano O. Becker,Nabiha Asghar,Kabir Walia,Ashwin Srinivasan,Ehi Nosakhare,Victor Dibia,Soundar Srinivasan
  • AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems

    Victor Dibia,Jingya Chen,Gagan Bansal,Suff Syed,Adam Fourney,Erkang Zhu,Chi Wang,Saleema Amershi
  • Automated generation of data visualizations and infographics using large language models and diffusion models

    Victor Chukwuma Dibia
  • Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications

    Negar Arabzadeh,Julia Kiseleva,Qingyun Wu,Chi Wang,Ahmed Awadallah,Victor Dibia,Adam Fourney,Charles Clarke

RECENT PROJECTS

RECENT TALKS

  • December 2023

    Ai.dev / Cassandra SummitSan Jose, McEnery Convention Center.

    AutoGen: NextGen AI Applications via Multi Agent Conversations
  • June 2021

    Fast Forward LiveOnline.

    Deep Learning for Automatic Offline Signature Verification
  • November 2019

    QCON SFSan Francisco, USA.

    ML in the Browser: Interactive Experiences with Tensorflow.js
  • November 2019

    Tensorflow World Santa Clara, California USA.

    Handtrack.js: Building gesture-based interactions in the browser using TensorFlow.js

RECENT NEWS/UPDATES

  • October 2024
    TALK
    I delivered a keynote presentation at IEEEVis 2024 Conference - NLViz workshop on 'What Can Generative AI Do for Data Visualization? Opportunities and Production Challenges from the Field'
  • October 2024
    PAPER
    New paper accepted at EMNLP 2024 Conference - AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
  • May 2023
    PAPER
    New paper accepted at ACL 2023 Conference - LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
  • May 2023
    PAPER
    New paper accepted at ACL 2023 Conference - Aligning Offline Metrics And Human Judgments Of Value Of AI-Pair Programmers.
  • March 2023
    update
    Released new Kaggle Notebook on Multimodal Recommendation with Tensorflow 2.0
  • March 2022
    award
    My work on Signver (a library for automatic signature verification) is awarded 'Best Computer Vision Application' in the AWS Deep Learning Challenge
  • February 2022
    award
    My Kaggle Notebook 'Signature Image Cleaning with Tensorflow 2.0' is awarded the 'Google OSS Expert Prize'
  • October 2021
    update
    I have joined the Human AI eXperience (HAX) team at Microsoft Research as a Principal Research Software Engineer

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