About me

I am a Quantitative Researcher at Appian Way Energy Partners, working at the intersection of probability theory, machine learning, and real-world uncertainty quantification.

My background is in theoretical statistics and probability. I received my PhD in Statistics from the University of Oxford, where I was supervised by Dino Sejdinovic and George Deligiannidis. During my PhD, I worked on generalised Bayesian methods in function and parameter space, using tools from infinite-dimensional analysis to study uncertainty quantification and develop new machine learning algorithms.

These days, I am particularly interested in the mathematical foundations of generative AI and their applications to uncertainty quantification. More broadly, I like problems where rigorous probabilistic ideas can be used to build practical methods for complex systems.

My publications can be found on Google Scholar.

If you take an interest in these subjects, feel free to reach out to me at veit.wild at gmail.com!