Agamemnon Krasoulis
Machine Learning Scientist
Summary
Agamemnon Krasoulis is a Machine Learning Scientist with over 10 years of experience in academic and industrial positions. His work is inspired by the potential of data and technology to improve people’s lives. He develops machine learning algorithms for biomedical and healthcare applications including in-silico drug discovery, brain-machine interfaces, upper-limb prosthetics and cochlear implants.
Download my CV.
- Machine Learning
- Signal Processing
- Biomedical & Neural Engineering
- Computational Chemistry & Biology
- Computational Neuroscience & Neuroinformatics
PhD in Neuroinformatics, 2018
University of Edinburgh
MRes (Distinction) in Computational Neuroscience & Neuroinformatics, 2013
University of Edinburgh
MEng. Electrical and Computer Engineering, 2010
University of Patras
Experience
Member of the molecular property prediction team for Chemistry42 platform.
Responsibilities include:
- ML research and experimentation (classical and deep learning)
- Software development
- Code reviewing
Deep neural virtual screening (DENVIS) for early-stage drug discovery using graph neural networks.
- R&D lead
- Project management
- Research intern supervision
- Research and experimentation
- Software development
- Funding acquisition
- Patent and publication writing
- Presentations and engagement with external stakeholders
- Set-up and organisation of deep learning reading group
EEG-based brain-computer interfacing (BCI) using deep neural networks.
- R&D lead
- Algo team engineering management (4 ML engineers)
- Project management
- Software design and architecture
- Hiring
Courses:
- Machine Learning and Pattern Recognition
- Probabilistic Modelling and Reasoning
- Introductory Applied Machine Learning
- Data Mining and Exploration
- Neural Computation
Skills
