معرفی
Lars Nørvang Andersen is an Associate Professor at the Department of Mathematics, Aarhus University, affiliated with the Stochastics research group. His academic journey includes a Ph.D. in applied probability theory (2009) and a master's degree in statistics from Aarhus University.
- Research focus: statistical learning, bioinformatics, stochastic modeling
- Former positions: Postdoctoral researcher at Bioinformatics Research Centre (Aarhus) and Stanford University's Department of Biology
- Academic service: Assessment committees and Danish Statistical Society treasurer
His research spans statistical learning, machine learning, and stochastic modeling in bioinformatics and operations research. Recent publications highlight interdisciplinary work in Gaussian process models, population genetics, and differentially private learning algorithms.
Key trends in publications include:
- Advancements in self-distillation techniques (2021)
- Applications of phase-type distributions in genetics
- Stochastic modeling for rare event simulations (2018)
- Optimization algorithms for logistics and machine learning
Teaching activities cover applied statistics, theoretical statistics, and modern statistical learning at bachelor's and master's levels, with industry collaborations in student projects.
