Ralph Abboud
Principal Scientist at Renaissance Philanthropy
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRalph Abboud is a Program Scientist based in Oxford with eight years of experience at the intersection of AI, learning engineering, and education policy, currently leading AI for Math and AI for Education programs at Renaissance Philanthropy. He holds a DPhil in Computer Science from the University of Oxford and has blended academic rigor with applied impact through roles at Schmidt Futures, the Learning Engineering Virtual Institute, and The Learning Agency Lab. His work includes developing and evaluating language models for automated writing feedback and providing technical strategy for AI research programs, demonstrating a rare combination of hands-on model development and program-level leadership. Ralph’s background in both high-achieving engineering academics (3.99/4.00 B.E.) and conservatory-level piano hints at a disciplined, creative approach to problem solving and communication. Colleagues describe him as someone who moves fluidly between research, product, and policy, scaling technical innovations to educational contexts.
8 years of coding experience
4 years of employment as a software developer
Baccalauréat Diploma in Piano Performance, Baccalauréat Diploma in Piano Performance at Lebanese National Higher Conservatory Of MusicDPhil (PhD) in Computer Science, DPhil (PhD) in Computer Science at University of OxfordBachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Lebanese American University
English, French, Arabic
Github Skills (11)
python9
machine-learning9
deep-learning9
cuda9
knowledge-graph8
translation8
encoder-decoder8
machine-translation6
tensorflow5
neural-network5
visualization4
Programming languages (2)
Github contributions (5)
ralphabb/personal-website
Oct 2022 - Jun 2026
Contributions:28 pushes, 1 branch in 3 years 9 months
ralphabb/BoxE
Oct 2020 - Dec 2020
Implementation of the BoxE model from the NeurIPS 2020 paper "BoxE: A Box Embedding Model for Knowledge Base Completion". Also includes a visualization tool, BoxEViz, to show the evolution of boxes over training.
Contributions:6 commits, 6 pushes, 3 branches in 1 month
visualization
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