Oliver works with optimization methods under uncertainty for systems analysis.
His PhD research focuses on developing methods for optimization under uncertainty which utilize neural networks and machine learning models and frameworks.
Interests
- Optimization Under Uncertainty
- Machine Learning, Neural Networks and Artificial Intelligence
- Dynamic Programming and Optimal Control
- Numerical Methods
- Probability and Bayesian Data Analysis
Education
MSc in Mathematics and Operations Research, 2023
Aalto University
MSc in Mechanical Engineering, 2015
Aalto University
BSc in Mechanical Engineering, 2013
Aalto University