About me

I founded my first startup when I was 19, right after school. Made many mistakes and the startup failed. Learned from these mistakes, taught myself every single YCombinator concept and built my second startup successfully (In a sense that it actually solved a problem). We made good revenue and had good growth, but I found that the topic (HR tech) was not in my area of interest and I didn’t see much impact I could have in this sector. So before our first round of funding, I stepped down from the CEO position of the company and moved on.

A new chapter began. This time it was even more important for me to work on a topic that sparked my curiosity. I have always been fascinated by our brain and how it works. But I never wanted to work in research or academia. Through my startup experience, I saw the opportunity of AI and innovations in neural networks. So my next goal is to teach myself programming (focus on ML / DL), understand the basics of neuroscience, and get an overview of the neurotech and brain-computer interface field.

In my opinion a good community always helps to get into a field faster. Therefor I took the Chapter Lead Role of NeuroTechMUC in Munich.

Besides that I’m currently working for mediaire a Berlin-based medtech startup dedicated to building AI-powered software that supports radiologists with their daily work: Analyzing medical images. Their first apps for identifying Alzheimer’s and multiple sclerosis from MRI scans are already on the market and quickly gaining traction.

Over the next 10, 20, 30, 40, 50 (If longevity science will go well even more) years I want to contribute to the following roadmap:

1. With better Deep Learning algorithms we will eventually understand how the brain (especially the neocortex with it’s black box the ‘human intelligence’) works.

2. If we understand how intelligence works we will create better Neural networks which will led to truly intelligent machines.

3. When the singularity happens (I’m optimistic that humanity will solve most of the ethical issues that come with it). AGI will solve problems in many science related areas that will lead to a better future.

4. While humanity will make great progress in medical signal processing over the next decades, Brain-Computer-Interfaces will reach a level where we can not only read better from our brains but also write better to them. This will lead to rise of human intelligence as well in order to work together with AGI.

Note: I am currently still at the beginning of my learning phase about these topics. Therefor it can happen that i will change my opinion about the roadmap above when I learn about new things or get a better understanding about certain topics.

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