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Matthias
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Boldified keywords on 'about' page.'
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_pages/about.md

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@@ -18,14 +18,14 @@ selected_papers: true # includes a list of papers marked as "selected={true}"
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social: true # includes social icons at the bottom of the page
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---
2020

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As a *cognitive scientist* by training, I learned to view and understand intelligence from different angles: From computer science, psychology, neuro science, linguistics, and philosophy. Towards the end of my undergrad studies, I *specialised in artificial intelligence*, learning a lot about *recurrent neural networks* to process and predict *time series data*, and conducted my master's thesis in the autonomous driving group at Daimler AG, where I investigated sources of temporal noise in object and car detector networks.
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As a **cognitive scientist** by training, I learned to view and understand intelligence from different angles: From computer science, psychology, neuro science, linguistics, and philosophy. Towards the end of my undergrad studies, I **specialised in artificial intelligence**, learning a lot about **recurrent neural networks** to process and predict **time series data**, and conducted my master's thesis in the autonomous driving group at Daimler AG, where I investigated sources of temporal noise in object and car detector networks.
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Subsequently I decided to pursue a *PhD in a socially and environmentally relevant topic: Weather Forecasting*. At the University of Tübingen, my supervisor, Prof. Dr. Martin Butz, and I delved into the beauty and challenges of atmospheric sciences, simultaneously with Google, NVIDIA and Microsoft, and *developed deep learning methods to improve global weather forecasts* in colaboration with Prof. Dr. Dale Durran at the University of Washington, among many others.
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Subsequently I decided to pursue a **PhD in a socially and environmentally relevant topic: Weather Forecasting**. At the University of Tübingen, my supervisor, Prof. Dr. Martin Butz, and I delved into the beauty and challenges of atmospheric sciences, simultaneously with Google, NVIDIA and Microsoft, and **developed deep learning methods to improve global weather forecasts** in colaboration with Prof. Dr. Dale Durran at the University of Washington, among many others.
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In March 2024, I obtained my PhD and continued as a PostDoc at the University of Tübingen with the Land-Atmospheric Feedback Initiative ([LAFI](https://www.lafi-dfg.de/), at the University of Hohenheim), which unifies an interdisciplinary consortium of excellent researchers to *better understand fine-scale processes that lead to convection, cloud formation, and precipitation*.
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In March 2024, I obtained my PhD and continued as a PostDoc at the University of Tübingen with the Land-Atmospheric Feedback Initiative ([LAFI](https://www.lafi-dfg.de/), at the University of Hohenheim), which unifies an interdisciplinary consortium of excellent researchers to **better understand fine-scale processes that lead to convection, cloud formation, and precipitation**.
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I am an enthusiastic *tinker and thinker*, I *love working on tough problems*, and enjoy developing my *professional coding skills*, my *personal mindset*, as well as my social *communication skills*.
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I am an enthusiastic **tinker and thinker**, I **love working on tough problems**, and enjoy developing my **professional coding skills**, my **personal mindset**, as well as my social **communication skills**.
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### learn more about my research
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Watch my *talk* at the [AI4Good](https://aiforgood.itu.int/) Seminar Series on [YouTube](https://www.youtube.com/watch?v=RKJQYMnJV3M&list=PLQqkkIwS_4kXEEVm5T9IpRRUL5aqLoMqi&index=29).
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Watch my **talk** at the [AI4Good](https://aiforgood.itu.int/) Seminar Series on [YouTube](https://www.youtube.com/watch?v=RKJQYMnJV3M&list=PLQqkkIwS_4kXEEVm5T9IpRRUL5aqLoMqi&index=29).

_projects/1_project.md

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<div class="col-sm-5 mt-3 mt-md-0">
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{% include figure.liquid path="assets/img/tiny/08_daemmung_innen.JPG" title="Me installing the sheep's wool insulation" class="img-fluid rounded z-depth-1" %}
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</div>
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<div class="col-sm-8 mt-3 mt-md-0">
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{% include figure.liquid path="assets/img/tiny/13_zwischenstand.jpeg" title="example image" class="img-fluid rounded z-depth-1" %}
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</div>
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</div>

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