Pantelis Antonoudiou
About
I am interested in understanding how complex systems process information, make decisions, and generate behavior. My work spans neuroscience, machine learning, software engineering, and AI systems, with a particular focus on understanding and building intelligent systems.
My background includes research on neural representations, information flow, network dynamics, and behavior, as well as developing machine learning methods and software tools for physiological signal analysis. More recently, I have worked on production data and AI-enabled systems while exploring questions related to model behavior, evaluation, interpretability, and reliability.
I am particularly interested in how biological and artificial systems represent information, develop capabilities, make decisions, and fail, and in the computational principles that may be shared across both.
Areas of Interest
- Intelligent systems
- Machine learning and AI
- Model behavior, evaluation, and reliability
- Neuroscience and neural computation
- Scientific software and physiological signal analysis
Connect
If you would like to connect please reach out on LinkedIn or email me at pantelis.antonoudiou[at]gmail[dot]com.