About
About
I came for Psychology, Philosophy almost stole me and ended up with Statistics
Studying Philosophy in Jerusalem was so much fun. I liked the freedom to choose my own unique direction through this field. From Socrates to Nietzsche, from Kierkegaard to start of the century Theologians, and from there to mid- and late century post modernism. I liked it all.
I spent four years teaching statistics, then moved deeper into data science, machine learning and artificial intelligence. These days I work around AI systems and their evaluation.
I’m particularly fascinated by neural networks — partly because they work so well, partly because they are so simple when you think about them, and partly because there is still something strange about watching useful representations emerge from a very large pile of matrix multiplications.
A lot of what I make comes from that combination of interests: experiments, statistical models, visualizations, and attempts to understand what a model is actually doing rather than just whether its loss went down.
Publication
When misinformation meets signal detection theory.
I also wrote the OrdinalRegressionViz R package, used by me in a meta-analysis by Simchon, Zipori, Teitelbaum, Lewandowsky, and van der Linden on misinformation discernment and signal detection.
Contact