Making MaRDI Gallery

You want to know who is making MaRDI and why? Here we introduce you to the people who shape MaRDI with their expertise and vision for mathematical research data.

 
Data is our treasure and source of knowledge
Karsten Tabelow
Governance and Consortium Management

Who are you in two sentences?
I am a physicist by training and a scientist at heart. I guess I have some capabilities in analysing things and in working with people.

In which field of mathematics do you work and how long have you been working there?
Most of my work is interdisciplinary in nature; at the bridge between statistics und biomedical sciences.

What is the most important problem in your field that MaRDI aims to solve?
Data from the biomedical sciences is usually well-organized and described, and is nearly fully FAIR. However, as somebody who develops methods, I often struggle to transfer the knowledge about this data that would allow me to develop appropriate methods for data handling. I would like to see MaRDI make this process easier including the access to the available methodologies.

What question can you answer best regarding MaRDI/ What's your expertise within MaRDI?
Together with Thomas (Koprucki), we had the early concept for MaRDI, when there was not even the notion of NFDI. So, I think and hope, that I can and will contribute to the conceptual development of MaRDI as a whole.

How do you wish the data culture to change with the help of MaRDI?
Data is our treasure and source of knowledge. So I would like to see this treasure to be lifted and the researcher who provides it, to give the appropriate credits.

How would you describe a typical work day?
I usually start checking emails (which is almost always a bad idea but keeps me aware of the things ahead), I take a walk or a ride by bike (to office) and start with my bullet journal to do the morning reflection (If I drop this, I know, this will be one of these days...). I am in a lot of meetings with different people on different topics. In between I try to work on a paper or some other content. I usually need a break in the late afternoon before continuing. I often do some planning for new things or just clearing the leftovers in the evening.

What is an aspect of your work that you particularly enjoy and what is one that you find challenging?
I like to learn new things from all areas of science, to combine knowledge on a path to ... my tiny bit of wisdom. I find it challenging, that teams always struggle to define their processes of working.

November 08, 2022; Photo: © Verena Brandt

 

Karsten Tabelow

Governance and Consortium Management
Cooperation with Other Disciplines
Statistics and Machine Learning

Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin

+49 30 20372564
karsten.tabelow@mardi4nfdi.de

On a personal note

Do you have a favorite place you go to for thinking about a problem?
When I am on route, either by bike or on foot.

What do you enjoy outside work?
I like to play the piano and to sing, I like hiking in the mountains, cooking and eating. I also like to think about politics and all disciplines of science.

 
I am a mathematician with an unavailability-of-computer-based-experiments pet-peeve
Karsten Tabelow
Governance and Consortium Management

Who are you in two sentences?
I am a physicist by training and a scientist at heart. I guess I have some capabilities in analysing things and in working with people.

In which field of mathematics do you work and how long have you been working there?
Most of my work is interdisciplinary in nature; at the bridge between statistics und biomedical sciences.

What is the most important problem in your field that MaRDI aims to solve?
Data from the biomedical sciences is usually well-organized and described, and is nearly fully FAIR. However, as somebody who develops methods, I often struggle to transfer the knowledge about this data that would allow me to develop appropriate methods for data handling. I would like to see MaRDI make this process easier including the access to the available methodologies.

What question can you answer best regarding MaRDI/ What's your expertise within MaRDI?
Together with Thomas (Koprucki), we had the early concept for MaRDI, when there was not even the notion of NFDI. So, I think and hope, that I can and will contribute to the conceptual development of MaRDI as a whole.

How do you wish the data culture to change with the help of MaRDI?
Data is our treasure and source of knowledge. So I would like to see this treasure to be lifted and the researcher who provides it, to give the appropriate credits.

How would you describe a typical work day?
I usually start checking emails (which is almost always a bad idea but keeps me aware of the things ahead), I take a walk or a ride by bike (to office) and start with my bullet journal to do the morning reflection (If I drop this, I know, this will be one of these days...). I am in a lot of meetings with different people on different topics. In between I try to work on a paper or some other content. I usually need a break in the late afternoon before continuing. I often do some planning for new things or just clearing the leftovers in the evening.

What is an aspect of your work that you particularly enjoy and what is one that you find challenging?
I like to learn new things from all areas of science, to combine knowledge on a path to ... my tiny bit of wisdom. I find it challenging, that teams always struggle to define their processes of working.

November 08, 2022; Photo: © Verena Brandt

Karsten Tabelow

Governance and Consortium Management
Cooperation with Other Disciplines
Statistics and Machine Learning

Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin

+49 30 20372564
karsten.tabelow@mardi4nfdi.de

On a personal note

Do you have a favorite place you go to for thinking about a problem?
When I am on route, either by bike or on foot.

What do you enjoy outside work?
I like to play the piano and to sing, I like hiking in the mountains, cooking and eating. I also like to think about politics and all disciplines of science.