Projects

Research Topics:

• Evolutionary Implications of Multiscale Intelligence
• Collective Decision-Making in Cellular Navigation
• Unifying Principles in Diverse Intelligences
• Reinforcement Learning and Neuroevolution of Decision-Making Strategies of Cells
• Confinement-Driven Self-Assembly

Frameworks

• mindcraft: a modular reinforcement learning framework for robust and interpretable autonomous navigation
• bio-feedback: a framework to synchronously gather, process, and control bio-sensory data
• data-monitor: an interactive (non-blocking) matplotlib-based time-series visualization tool
• gempy: Python implementations of different generative models (maximum entropy method - NumPy & Numba, Variational-Autoencoder - PyTorch)
• cthru: a software to minimize reflection in video data of an optical multi-polarization filter system
• atuin: a Python-based framework for evolutionary optimization of nested data structures - developed during my Ph.D. (available on demand)

Coding Challenges

• Citrine Challenge (2020)
• Cloudflight Coding Contest: 7th place, Vienna, Austria (2017)

Applications and Hobby

• Inkstrument: an AI-based music controller (WIP)
• Raspberry Pi brewery (putting CraftBeerPi by Manuel Fritsch to use)