What were you doing before Jungle Program?

I was a researcher at the Chair for Aero Engines at the Technische Universität Berlin.

Could you tell us more about your research at TU Berlin and MIT?

My research is dealing with aeroelasticity in turbomachines. Aeroelasticity is an interdisciplinary field studying how a body behaves in a flow. Turbomachines can either be compressors or turbines which are widely used in aero engines, gas turbines, or wind turbines. I was studying how flow-induced vibrations in a compressor environment develop under certain flow conditions. Especially in aero engines, you want to avoid severe flow-induced vibrations otherwise the safety of the machines could be at risk. For my work, I set up an experimental test rig which is a wind tunnel with an oscillating compressor cascade. I have studied to which extent the flow was damping the blade oscillation at different flow parameters.

Professor Dieter Peitsch, Leonie Malzacher, Christian Brück, Horst Mudrack and Norbert Scholz

If you had to write a book, what would it be?

I would write a book about how being wrong in a learning context is something beautiful, nobody should be afraid or even fear it, what it means to be wrong and how to make the most out of it.

You are given the opportunity to give your 18-year-old self some career advice: what would you say?

Take time to find out what you are passionate about. Do not compare yourself, everyone has their own pace and definition of success – find your own. Choose an energetic work environment that is supportive, uplifting, innovative, growing, and fun. Be brave, rebellious (not all the time), and dare to question the status quo.

What is the most challenging thing you worked on?

To set up a test rig for aeroelastic investigations, there were challenges that I had not even dreamed of.

What made you learn more about Data Science?

In my day-to-day job, I already do a lot of data analysis and I wanted to understand better which machine learning methods could be suitable candidates to facilitate my data processing. I was looking for a program with experienced teachers from the industry and a hands-on learning mentality. Jungle Program seems to be the perfect fit.

What advice do you have for those considering live courses?

It is a game-changer. You never want to go back to conventional online courses.

How do you describe a live course with Jungle Program?

The program is taught in micro classes creating a very familiar study environment. It is very interactive and energetic because if you have a question, you can directly ask the teacher or your fellow students. I especially enjoy when we discuss how to tackle certain problems which give me new angles to the challenge, inspiration, and motivation. The lectures are a mix of theory and hands-on coding which is a great way to learn something new.

What surprised you the most about the Jungle Program community?

I did not know that there is such a big community behind the program. The community is so supportive in so many ways, be it coding questions, tools, jobs, project partners, and of course it is so much fun to meet new people and make new friends.

What is your impression of the Jungle Program?

I learned so many useful things that I will try to apply directly to my work. It was the best investment in my human capital for a while.

Have you planned to merge your aerospace engineering background with your new skills in Data Science?

Yes, absolutely. I already have a couple of project ideas that could facilitate our day-to-day business.

What are you up to after the program in Data Science?

I just started a new job as a research and development engineer in the aerospace industry.

How do you feel about this new challenge?

I am super excited about my new job, and I especially love the beginning very much. There are always so many new things to learn and hopefully, I can start my machine learning project.

Could you share with us your 3 favorite projects or research using Machine Learning?

One project is the oneforest project from the Crowtherlab at ETH Zürich in which machine learning was applied to build global tree maps documenting existing trees, their position, and characteristics.

Home | Crowther Lab
Crowther Lab team research generates an understanding of global ecology to address biodiversity loss using cutting edge science.

The second one is the innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts (iMIRACLI) project funded by the EU that just started in 2020. The project focuses on aerosol-cloud impact and quantification on climate change, and I am very much looking forward to read the first publications.


The last one is in general deepfake technology which fascinates me especially its application potential.

Could you share your favorite track or playlist for coding?

I like to listen to Glass Animals and the xx while coding.

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