Maria is a Data Science PhD student at the University of Edinburgh, where she works on improving the expressivity and efficiency of probabilistic programming languages. In particular, she is interested in applying program-analysis techniques to existing probabilistic languages, such as Stan. Previously, Maria worked as a Research Assistant in the Graphics and Interaction Group at the University of Cambridge, where she also received her BA, developing an interactive development environment for probabilistic programming for her final year project.
Talks I've Given
Keynote: Probabilistic Programming: The What, Why and How
Featuring Maria Gorinova
f(x) = y, but y = 5. What's the probability that x =1? Probabilistic programming is the idea of describing probabilistic models as programs, to then automatically infer how our beliefs about model parameters change given observed data. In recent years, probabilistic programming languages...stan probabilistic-programming f# functional-programming