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switched the focus from datascience back to bioinformatics and added DOC fundaward
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about.md

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## Background
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I hold a bachelor’s degree in Molecular Biology from Graz and a master’s degree in Biotechnology,
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where I developed a strong interest in computational methods, particularly machine learning.
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where I developed a strong interest in computational methods and statistics.
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This passion led me to specialize in bioinformatics for my PhD research.
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## Current Work
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- Build interpretable machine learning models for molecular networks.
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- Model CHO cells to improve biotechnological processes.
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## My Goal: Becoming a Full-Stack Data Scientist
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My ultimate goal is to become a **full-stack data scientist**, a role that encompasses not only
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developing machine learning models but also deploying them into production and monitoring them, to
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deliver real-world value.
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A full-stack data scientist bridges the gap between model development and its practical application.
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While I love programming, machine learning, and data science, I believe that the true value comes
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from delivering functional solutions that directly impact the business.
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A model in a Jupyter notebook, no matter how sophisticated, cannot provide value to a company on its
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own. Deployed models, integrated into systems and accessible to end-users, are what drive
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decision-making and innovation. This is why I am passionate about mastering the entire lifecycle of
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data science projects, from exploration and modeling to deployment and maintenance.
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## Strenghts
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- **Autodidactic Learning**: I have a proven ability to teach myself complex
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technical topics through independent study. With a formal background in
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biology, I transitioned into data science without relying on additional
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biology, I transitioned into bioinformatics without relying on additional
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university coursework. By leveraging online resources, technical
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documentation, and hands-on experimentation, I developed expertise in
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statistical modeling, data analysis, and machine learning using Python and
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just a habit—it’s a conscious strategy. Long-term projects live or die by
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their organization, and I make sure mine stay alive.
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- **Patience**: Structured work over time requires patience, and I’ve always had
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a strong sense of that. Progress in research or data science is often slow
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and incremental, so staying focused on the bigger picture is essential. Since
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I started studying in 2017, I’ve wanted to apply my skills to projects that
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have real-world impact. But I knew I first needed to build them—and only in
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2024, with the start of my PhD, did I feel ready to do that meaningfully.
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a strong sense of that. Progress in research is often slow
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and incremental, so staying focused on the bigger picture is essential.
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- **Creativity**: I tend to think in unconventional ways, which often leads to
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efficient or elegant solutions. For example, back in school, I’d sometimes
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forget the "proper" formulas for math problems but still solve them using

books.md

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# Books
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Welcome to the books section of my portfolio. Here, I list the books I have
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studied to expand my professional (data science) skills.
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studied to expand my professional skills.
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courses.md

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# Courses
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Welcome to the courses section of my portfolio. Here, I list the
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educational programs I have completed to expand my professional (data
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science) skills. While I completed many different courses throughout my
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professional journey (for example as part of my Bachelor's and Master's
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degrees) here I want to focus on those that are relevant for data science.
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Welcome to the courses section of my portfolio. Here, I want to highlight
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selected courses I took to improve my professional (bioinformatics) skills.
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## Self-Directed Learning

hardskills.md

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# Hardskills
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Welcome to the hardskills section of my portfolio. This is where I list the concrete technical skills I've built. Unlike soft skills, these are measurable and testable.
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Welcome to the hardskills section of my portfolio. This is where I list the
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concrete technical skills I've built. Unlike soft skills, these are measurable
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and testable.
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<br>
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## Python programming
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**Overview:**
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Core language for my data science and bioinformatics workflows. Used daily for data wrangling, statistical analysis, and modeling.
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**Key Strengths:**
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- Experienced in scikit-learn, PyTorch, XGBoost
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- Solid understanding of OOP, scripting, and automation
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- Focus on writing reproducible, clean code (PEP8, modular design)
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**Use Cases:**
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Whenever I work with machine learning, I use Python as the to go language
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for that. Further, I wrote a Python package that allows to train a special
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type of interpretable neural network that has the architecture of a
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molecular network (not yet made available publicly at the time of writing this).
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<br>
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## R programming
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**Overview:**
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Core language for my data science and bioinformatics workflows. Used daily for data wrangling, statistical analysis, and modeling.
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**Key Strengths:**
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**Use Cases:**
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- Programming of the SplineOmics package (see section: software-packages).
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R is the number one language in bioinformatics and therefore I use it a lot
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in my daily work. I did a multitude of statistical analyses with it, and
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also wrote an R package, SplineOmics (see section: software-packages).
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honors-and-awards.md

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---
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layout: default
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title: Honors and Awards
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---
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# Honors and Awards
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Welcome to the honors and awards section of my portfolio. Here, I list
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achievements like grants, fellowships, scholarships, etc.
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---
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<br>
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## DOC Fund of the Austrian Academy of Sciences (ÖAW)
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I received a DOC Fellowship from the Austrian Academy of Sciences (ÖAW), a
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highly competitive grant supporting outstanding PhD students across all research
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disciplines. The fellowship is awarded based on academic performance, research
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potential, and project quality. I secured €147,240 in total funding, with
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€49,080 allocated for my personal research support over three years, based
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on my independently proposed research project.

index.md

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![Thomas Rauter](photo_Rauter.jpg){: style="width:150px; height:auto; border-radius:50%;" }
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Last updated: 24.02.2025
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Last updated: 28.06.2025
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Hello, I’m **Thomas Rauter**, currently a PhD researcher in **Bioinformatics** at the
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Paris-Lodron-University of Salzburg, Austria. This website is my
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> offering a comprehensive overview that is easy to navigate.
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## My Goal
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My goal is to become a **full-stack data scientist** working in industry, combining model
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development, deployment, and monitoring to deliver real-world value.
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To learn more about why this is my goal and what it means to me, visit the [About Me](about-me)
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page.
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## Technology Badges
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Throughout this website, you will see badges like
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![Python](https://img.shields.io/badge/Python-yellow?style=flat&logo=python&logoColor=white). These

softskills.md

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## Presenting
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**Overview:**
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Presenting results and topics is a key skill when someone pursues a scientific education. Since highschool, I had to make many different presentations, which includes more formal ones at seminars and conferences, but also more informal ones in group meetings
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**Key Strengths:**
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- Clear story
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- No clutter and information overload
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- Clear structure: Introduction, methods, results and discussion, summary, conclusions, (and outlook)
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**Use Cases:**
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- Seminars
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- Conferences
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- Group meetings
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- Classes
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Presenting results and topics is a key skill when someone pursues a scientific
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education. Since highschool, I had to make many different presentations, which
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includes more formal ones at seminars and conferences, but also more informal
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ones in group meetings. I can say with confidence that over the years I
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became a very good presenter, when I have the time to sufficiently prepare.
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