Dr. Alexander Buchholz


Data Scientist
QuantCo
Berlin


About me

I am a Data Scientist at QuantCo, working on various AI topics in the insurance space. Previously I was an Applied Machine Learning Scientist at AWS, working on code generation using LLMs. I also worked on recommender systems and learning-to-rank at Amazon Music. Before moving to industry I was a Postdoctoral Research Associate in the Biostatistics Unit of the Medical Research Council at the University of Cambridge, working with Sylvia Richardson. I completed a PhD in applied mathematics at the Center for research in economics and statistics (CREST), Paris supervised by Nicolas Chopin. From October 2017 to April 2018 I visited Pierre E. Jacob at the Department of Statistics at Harvard University. I did my graduate studies in economics, mathematics and statistics under the double degree program of Humboldt University Berlin and ENSAE ParisTech.

My research during PhD and postdoc focused on computational Bayesian methods such as Monte Carlo and approximate inference. At Amazon I work on LLMs for code generation, recommender systems such as learning-to-rank, contextual bandits and off-policy evaluation and learning. I am also interested in causal inference and online experimentation.

Publications (selected)

Education

Teaching

I entirely held the following classes (lecture + tutorial):

I've also had the pleasure of assisting in teaching several courses (i.e. teaching the tutorials), here are some.