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

I am currently a Machine Learning Research Engineer at Cloudera Fast Forward Labs. 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 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) and an MSc in Information Networking from the Information Networking Institute at Carnegie Mellon University. I previously worked as a 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 (), sports (participate in the Hong Kong Marathon thrice) and exploring art (drawing, african mask art).




  • Detecting Human Input Activity In a Cognitive Environment Using Wearable Inertia and Audio Sensors

    Victor Dibia
  • Automated Summarization Based on Physiological Data

    Victor Dibia,Rachel K.E. Bellamy
  • An embodied cognitive assistant for visualizing and analyzing exoplanet data best demo paper Award @ AAAI 18

    Jeffrey O. Kephart,Victor Dibia,Jason Ellis,Biplav Srivastava,Kartik Talamadupula,Mishal Dholakia
  • Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks best paper Award @ IEEE CGA, Honorable Mention IEEEVis VDS

    Victor Dibia,Cagatay Demiralp




  • 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
  • November 2019

    Google ML SummitPittsburgh PA, Cambridge, USA.

    Art + AI : Generating Novel African Mask Art using Generative Adversarial Networks
  • September 2019

    OReilly Strata Data Conference New York, USA.

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


  • December 2020
    Finally made out time to update this website with React and Gatsby!
  • September 2020
    NeuralQA has been accepted as a demo paper at EMNLP 2020!
  • July 2020
    Excited to release NeuralQA - A Usable Library for (Extractive) Question Answering on Large Datasets with BERT. Try it out on Github.
  • January 2020
    I am helping to orgainize the Practical Machine Learining for Developing Countries Workshop at ICLR 2020 PML4DC . Please consider submitting your work by February 1.

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