About Me

Sam Stricker

I'm a Swiss PhD student in Chemical Engineering at Imperial College London in the groups of Mehmet Mercangöz and Antonio Del Rio Chanona, where I investigate the integration of artificial intelligence and digital twins to enhance manufacturing and laboratory operations. I earned a Master of Science in Chemistry from ETH Zurich, focusing on renewable energy technologies, electrochemistry for energy storage and conversion, machine learning, and hybrid modeling. My master's thesis, supervised by Prof. Dr. G. G. Gosálbez and Dr. A. Butté, addressed optimal design of experiments for bioprocesses using hybrid models. Professionally, I worked as an Algorithm Research Associate at DataHow AG, advancing methods for uncertainty estimation and experimental optimization in bioprocess development.

Core Competencies

AI & Digital Twins

  • Machine learning algorithms
  • Digital twin development
  • Process optimization

Chemical Engineering

  • Bioprocess design
  • Renewable energy technologies
  • Electrochemistry

Modeling & Optimization

  • Hybrid modeling
  • Bayesian Optimization
  • Uncertainty estimation

Professional Experience

Education

2025 — Present


PhD in Chemical Engineering

Imperial College London, United Kingdom

  • Integration of AI and Digital Twins in Manufacturing

  • Master of Science in Chemistry

    2023 — 2024

    ETH Zurich, Switzerland

  • Introduction to Machine Learning
  • Chemometrics and Machine Learning
  • Classical Simulation of Bio-Molecular Systems
  • Digital Chemistry

  • Bachelor of Science in Chemistry

    2018 — 2023

    ETH Zurich, Switzerland

  • Algorithms & Programming in C++
  • Electrochemical Energy Conversion and Storage Technologies