Interview with Christian Gnerlich, Brainjo

The number of days of incapacity for work in Germany due to burnout syndrome and depression has tripled since 1997! Brain fitness is becoming more and more important in our society, and successful, sustainable brain training should be personalized. However, due to the high ersonnel costs, these are very expensive. Brainjo solves this problem and develops the mental coach that everyone can afford!

Question 1: Which company do you work for and what position do you hold there?

Founder and manager at brainjo | Fitness studio for the brain

Question 2: What are your main tasks that you will take on in this position?

The initiator Mr. Christian Michael Gnerlich (B.Eng. Industrial engineer) is responsible in the founding team for the areas of management, sales and innovation and, as a former neurofeedback trainer, knows what is important when developing a new type of brain training system. strategic direction Business partners financing Design of the VR applications.

strategic direction
business partners financing
design of the VR applications

Question 3: "Knowledge creates² data" is a cross-faculty project at the University of Regensburg. It combines research efforts in the areas of Big Data, Artificial Intelligence and Machine Learning. How do your areas of responsibility relate to AI? Please describe this relation to us. (Please give us sample topics / tasks)

Cognitive fitness is becoming more and more important in our society, and successful brain training should be personalized. However, due to the high personnel costs, these are very expensive. The interdisciplinary team brainjo solves this problem and develops the “mental coach for everyone”. This can be described by a new brain training concept, which based on machine learning (ML) enables people to do individual training. Interactive, body-oriented training methods such as biofeedback / neurofeedback and virtual reality (VR) -based brain jogging and reaction training are to be linked with one another. The brainjo ML approach In general, the evaluation of complex vital parameters is associated with considerable effort. By However, the use of ML results in new potentials, also from non-invasive Data, findings in the form of coherent patterns (stress level, focus state) in To be able to determine vital parameters.

Question 4: How can you describe your collaboration with the University of Regensburg? Do you give lectures on specific topics, do you give students practical insights into your company or do you support the university in other ways?

We are a member of the Applied Artificial Intelligence Regensburg Initiative (AIR Initiative) Lectures on request We plan to work with the University of Regensburg to collect our ML data

Question 5: Building on this, what are the advantages for your company?

Possibility to find sample persons for ML evaluation

Question 6: Why do you think it makes sense to convey AI-related topics to students?