Kacper Kapusniak
CDT student
Kacper earned a BEng from University College London. His passion for Artificial Intelligence in healthcare led to a bachelor's thesis at the UCL Learning and Signal Processing lab, focusing on applying graph neural networks to drug design.
For his MSc in Data Science at ETH Zürich, Kacper delved deeper into diverse healthcare-oriented projects, ranging from segmenting histological images and improving medical NLP models to refining ECG signal classification. His master's thesis at the ETH Biomedical Informatics lab focused on representation learning of genomic sequences. Kacper designed self-supervised methods for graph neural networks and applied them to heterogeneous metagenomic graphs.
Alongside his academic pursuits, Kacper gained experience at Graphcore, crafting computer vision and deep learning applications for their Intelligence Processing Unit.
Now at CDT, he is driven by a deep-seated passion for integrating healthcare with Artificial Intelligence.