Katharina Mikulik | PhD Candidate
I’m passionate about unraveling the molecular mechanisms driving gene regulation and their role in shaping healthy and diseased cell types during development. Currently, I focus on developing machine learning algorithms to decipher gene regulatory networks in organoid differentiation. This involves leveraging perturbation screens with single-cell RNA-seq readouts across various time points along the differentiation process.
My academic journey started with a Bachelor’s in Molecular Biotechnology in Vienna, followed by my Bachelor’s Thesis at Lund University and Master’s studies in Molecular Biosciences at Heidelberg University. Throughout my Master’s internships, I embarked on a new journey where I pursued my passion for coding and delved deeper into mathematics and statistics. This journey ignited my excitement for fields like Genomics, Computational Biology, Statistics, and Machine Learning, as I worked with diverse single-cell sequencing datasets.
When I’m not immersed in research, I love all kinds of sports and outdoor activities, especially hiking in the Alps. I also enjoy cooking and have recently taken up gardening (confined to the space of my balcony). And of course, nothing beats the simple pleasure of curling up with a good book and coffee.