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

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I wrote a book on AI agents!
I am currently a Principal Research Software Engineer at the Microsoft Research HAX (Human-AI eXperience) team and Microsoft Core AI where I focus on Generative AI and AI Agents (core developer for AutoGen, Microsoft Agent Framework and contributor at Azure Foundry). 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, VentureBeat, CIO
here
. 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.
Full Bio & CV

NEWSLETTER

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RECENT POSTS ..

All Blog Posts

RECENT PUBLICATIONS

2025

  • Using Large Generative Models to Improve the Performance of Weak Language Models in Performing Complex Tasks

    Emmanuel Aboah Boateng,Victor Chukwuma Dibia,Cassiano Otavio Becker,Ehimwenma Nosakhare,Nabiha Asghar,Chyna Linn McRae,Anusha Nandam,Omisa Jinsi,Tianwei Chen,Mauricio Cunille Blando,Soundararajan Srinivasan,Damien S Jose,Kabir Walia,Ashwin Srinivasan,Vipul Agarwal,Ananth Rampura Sheshagiri Rao
    PATENT
    Justia Patent

  • Magentic-UI: Towards Human-in-the-loop Agentic Systems

    Hussein Mozannar,Gagan Bansal,Cheng Tan,Adam Fourney,Victor Dibia,Jingya Chen,Jack Gerrits,Tyler Payne,Matheus Kunzler Maldaner,Madeleine Grunde-McLaughlin,Eric Zhu,Griffin Bassman,Jacob Alber,Peter Chang,Ricky Loynd,Friederike Niedtner,Ece Kamar,Maya Murad,Rafah Hosn,Saleema Amershi
    ARXIV
    arXiv

  • 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
    NAACL
    arXiv PDF

  • Data Health Evaluation Using Generative Language Models

    Victor Chukwuma Dibia,Chenglong Wang,Bongshin Lee,Jeevana Priya Inala,John Thompson
    PATENT
    Google Patent

  • Interactive Debugging and Steering of Multi-Agent AI Systems

    Will Epperson,Gagan Bansal,Victor Dibia,Adam Fourney,Jack Gerrits,Erkang Zhu,Saleema Amershi
    CHI, Yokohama, Japan
All Publications

RECENT PROJECTS

All Projects

RECENT TALKS

  • June 2025

    AI.Engineer ConferenceSF, Marriott Marquis.

    UX Design Principles for Semi-Autonomous Multiagent Systems
    slides blog post
  • November 2024

    QCon San Francisco 2024San Francisco, USA.

    10 Reasons Your Multi-Agent Workflows Fail and What You Can Do About It
    Talk Page slides
  • October 2024

    CfD Conversations SeriesHybrid (In-person & Virtual).

    What Can GenAI Really Do for Data Visualization?
    event
  • December 2023

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

    AutoGen: NextGen AI Applications via Multi Agent Conversations
    recording
All Talks

RECENT NEWS/UPDATES

  • November 2024
    TALK
    10 Reasons Your Multi-Agent Workflows Fail and What You Can Do About It - QCon San Francisco 2024
    Talk Page Slides
  • November 2024
    PAPER
    New paper released - Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks!
    Project Page Paper PDF
  • 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'
    Workshop
  • October 2024
    PAPER
    New paper accepted at EMNLP 2024 Conference - AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
    Paper on Arxiv
  • 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
    Paper on Arxiv
  • May 2023
    PAPER
    New paper accepted at ACL 2023 Conference - Aligning Offline Metrics And Human Judgments Of Value Of AI-Pair Programmers.
    Paper on Arxiv
  • March 2023
    update
    Released new Kaggle Notebook on Multimodal Recommendation with Tensorflow 2.0
    Notebook on Kaggle
  • 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
    Project on Devpost
All News/Updates

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