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About Me |
Hello, I’m Thomas Rauter, a PhD researcher in Bioinformatics at the University of Salzburg. My PhD focuses on statistical evaluation of time-series omics data, CHO cell modeling, and interpretable deep learning for molecular networks.
I hold a bachelor’s degree in Molecular Biology from Graz and a master’s degree in Biotechnology, where I developed a strong interest in computational methods, particularly machine learning. This passion led me to specialize in bioinformatics for my PhD research.
As part of my PhD, I aim to:
- Develop statistical methods for analyzing time-series omics data.
- Build interpretable machine learning models for molecular networks.
- Model CHO cells to improve biotechnological processes.
My ultimate goal is to become a full-stack data scientist, a role that encompasses not only developing machine learning models but also deploying them into production and monitoring them, to deliver real-world value.
A full-stack data scientist bridges the gap between model development and its practical application. While I love programming, machine learning, and data science, I believe that the true value comes from delivering functional solutions that directly impact the business.
A model in a Jupyter notebook, no matter how sophisticated, cannot provide value to a company on its own. Deployed models, integrated into systems and accessible to end-users, are what drive decision-making and innovation. This is why I am passionate about mastering the entire lifecycle of data science projects, from exploration and modeling to deployment and maintenance.
- Programming: Proficient in Python and R for data analysis and modeling.
- Machine Learning: Focus on interpretable AI and applications in bioinformatics.
- Data Visualization: Creating effective and insightful visualizations.
- Research: Exploring innovative methods to address complex biological questions.
For more details, you can check out: