PhD student in computational sciences with a background in Engineering Physics
Research focus: developing tools that combine chemometrics and machine learning to improve drug discovery
In my research, I create tools and workflows that blend traditional chemometrics with modern machine learning. My goal is to make drug discovery faster and more efficient. Working with complex datasets, I use chemometrics for its reliability and machine learning for its predictive abilities. This combination helps streamline drug screening, making the process quicker and less costly whilst keeping the results explainable.
Ultimately, I aim to contribute to developing affordable medicines, ensuring they reach more people. My work is about making a real difference in healthcare by using the best of both worlds in data analysis.