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
- August 19, 2023Landing that Graduate Research Internship Position (CS, HCI) Notes on preparing for an internship in computer science for graduate students.
- July 26, 2023Implementing an Authenticated Backend API for your Firebase Hosting App with Cloud Functions. How to implement a backend api with authentication for your app deployed on firebase hosting using the firebase functions python sdk.
- May 21, 2023Implementing Dark Mode in Gatsby + Tailwind while Avoiding Flash of Unstyled Content (FOUC) How to implement dark mode in Gatsby + Tailwind while avoiding flash of unstyled content (FOUC)
- March 31, 2023How to Build MultiModal Recommender Systems with Tensorflow How to build multimodal recommender systems with Tensorflow Similarity
- January 06, 2023How to Build a Similar Posts Feature for Your Gatsby (JAMSTACK) Website using Machine Learning (Document Similarity) Extract representations for each post using a pretrained model, compute similarity scores, build a data structure that maps each post to a list of similar posts and display it on the post page.
- December 31, 20222022 Year in Review Got some stuff done.
- October 28, 202210 Predictions on the Future of Cloud Computing by 2025 - Insights from Google Next Conference 10 predictions on ways in which cloud computing and developer workflows will change in the next 3 year.
- September 24, 2022Introducing Peacasso: A UI Interface for Generating AI Art with Latent Diffusion Models (Stable Diffusion) I built a UI interface for interacting with latent diffusion models.
RECENT PUBLICATIONS
2024
Coding activity task (cat) evaluation for source code generators
Victor Dibia,Adam Fourney,Forough POURSABZI SANGDEH,Saleema Amin Amershi
2023
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Victor DibiaApplied machine learning prototypes for hybrid cloud data platform and approaches to developing, personalizing, and implementing the same
Sushil Thomas,Jeanne Schaser,Andrew Reed,Melanie Beck,Alex Bleakley,Yuya Yabe,Yi Hsun Tsai,Patrick David Hunt,Subhadeep Sinha,Victor Dibia,Christopher James Wallace,Jeffrey George Fletcher,Ofek GilaAxiomatic Preference Modeling for Longform Question Answering
Corby Rosset,Guoqing Zheng,Victor Dibia,Ahmed Awadallah,Paul Bennett
RECENT PROJECTS
All Projects ->
RECENT TALKS
- December 2023
Ai.dev / Cassandra SummitSan Jose, McEnery Convention Center.
AutoGen: NextGen AI Applications via Multi Agent Chat - 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
All Talks ->
RECENT NEWS/UPDATES
- May 2023PAPERNew paper accepted at ACL 2023 Conference - LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
- May 2023PAPERNew paper accepted at ACL 2023 Conference - Aligning Offline Metrics And Human Judgments Of Value Of AI-Pair Programmers.
- March 2023updateReleased new Kaggle Notebook on Multimodal Recommendation with Tensorflow 2.0
- March 2022awardMy work on Signver (a library for automatic signature verification) is awarded 'Best Computer Vision Application' in the AWS Deep Learning Challenge
- February 2022awardMy Kaggle Notebook 'Signature Image Cleaning with Tensorflow 2.0' is awarded the 'Google OSS Expert Prize'
- October 2021updateI have joined the Human AI eXperience (HAX) team at Microsoft Research as a Principal Research Software Engineer
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