About me

I’m a PhD student at Weizmann Institute of Science, under the supervision of Prof. Elad Schneidman. I have a BA in Physics and Mathematics from the Hebrew University. My work focuses on finding principles underlying structure-to-function relations in small neuronal networks. To address such questions, I combine simulation-based approaches with more information-theoretical tools and maximum entropy modelling.

I also work as a data scientist at Atidot, mostly working on machine-learning approaches to actuarial challenges such as mortality risk assessment and churn prediction.

Besides my own research topics, I’m very interested in scientific computing in general, and probabilistic programming in particular. I constantly try to expand my knowledge in statistics and probability theory, mostly by following interesting people on Twitter (and refs within). I especially enjoy (but rarely truly understand) topics that lie at the intersection of statistics and geometry, such as information geometry and computational optimal transport.

I’m married to Inbar, and together we’re running a life-long longitudinal study on a pair of twins. I love hiking, rock climbing, eating, and dogs.