Janik Vollenweider

Academic education:

• M.Sc. in Engineering (MSE) (2020 - 2023)
• B.Sc. in Aviation (2017 - 2020)

Professional competencies:

• Development of reinforcement learning (RL) algorithms for applied problems
• Development of machine learning and RL pipelines
• Process development and optimization through the application of AI algorithms in the field of aviation and safety critical systems
• Human - AI Teaming / Co-learning

• Reinforcement Learning in angewandten Problemstellungen
• Human-AI Teaming und Co-learning
• Causal AI
• Physics-Informed Machine Learning
• Symbolic Regression

• BrAIght: human-centred AI for efficient operations (Swissport International AG)
• Reinforcement learning for heat pump control (Heim AG Heizsysteme)
• Meta-Router: Multimodal and Barrier-Free Routing Solutions (SBB)
• Modelling the propagation of aircraft noise using physics-informed ML algorithms (n-Sphere, Switzerland Innovation Park Biel/Bienne)

• LinkedIn
• Persönliche Webseite unserer Forschungsgruppe