Yael Konforti
Research Scientist at SightX AI
United Kingdom
Summary
👤
Senior🎓
Top SchoolYael Konforti is a research scientist and ML PhD candidate at the University of Cambridge with eight years of experience applying statistical and machine learning methods to industry problems. Currently at SightX AI, she blends rigorous research with product-focused deployment, drawing on prior AI work at an Israeli biotech startup and teaching experience developing algorithms for NP-hard planning problems. Her academic background includes an MS in Statistics and Data Science and a BS in Industrial Engineering (Magna Cum Laude), underpinning strengths in probabilistic modeling and optimization. Yael’s profile reflects a rare combination of hands-on algorithm implementation, classroom leadership training over 100 students, and a sustained interest in the social responsibility of AI. She is based in the UK and brings a practical, ethics-aware approach to moving research into impactful applications.
8 years of coding experience
Bachelor of Science - BS, Industrial Engineering, Magna Cum Laude, Bachelor of Science - BS, Industrial Engineering, Magna Cum Laude at Ben-Gurion University of the Negev
Github Skills (5)
mixture-model9
mixture9
gaussian8
modeling6
python5
Programming languages (1)
Github contributions (3)
yaelkon/GMM-CNN
Feb 2020 - Aug 2022
Modeling CNN layers activity with Gaussian mixture model
Contributions:45 commits, 4 PRs, 13 pushes in 2 years 5 months
pythongaussianlayersmodelingmixture
yaelkon/xbm
Feb 2025 - Feb 2025
Code repository for "Explanation Bottleneck Models"
Contributions:5 pushes in 1 day
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