Member of the data science and bioinformatics team.
Responsibilities include:

• Integration of pre-clinical models into proprietary clinical outcome prediction platform
• Lead developer of internal molecular property prediction and drug safety framework
• Prediction of immunotherapy outcome prediction with single-cell gene expression data

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