Co-Founder & CEO of
- Live demo of some of our AI models at Gematria
- I won the Dieter Rampacher Prize 2020 from the Max Planck Society for being the youngest (25) to graduate from a PhD across all 86 Max Planck institutes.
- My PhD dissertation is now available: On the Geometry of Data Representations (link)
- Accepted at AAAI 2021: Computationally Tractable Riemannian Manifolds for Graph Embeddings (paper)
- Research I did at MIT: Optimal Transport Graph Neural Networks (paper, code, slides)
- Latest work I did against COVID: Bloom Origami Assays: Practical Group Testing (paper, software)
Gary Becigneul holds a PhD in Machine Learning from ETH Zurich.
He finished high school at 16 and at 21 obtained a master in mathematics from the University of Cambridge, also known as The Part III.
His deepest spiritual aim resides in buying as many Lamborghinis as he can before turning 30.
In 2019, he went half-a-year to MIT, developing graph neural networks for molecular data, presenting at AIDM 2020.
His subtle mind is often tortured by the most profound philosophical questions, the latest one being: why can I bench-press more than I can squat?
Which was the original motivation for undertaking his doctoral studies… “maybe I can build an A.I. to answer this question…”