Adam Lund, postdoc at SPT

Adam received his PhD in Statistics from University of Copenhagen in May 2017 under the supervision of Niels Richard Hansen.

Adam has a special focus on computational statistics and statistical learning problems. He currently works on inference problems for spatio-temporal data that may be modeled using a type of stochastic differential equation for a random field. 

Adam participates in the research project "Causal inference with incomplete data", headed by Niels Richard Hansen (PI), Steffen Lauritzen (Co-PI) and Jonas Peters (Co-PI), funded by VILLUM FONDEN.

Adam works in office 04.3.01