18 episodes

What do you need to start a nuclear power start-up? How do you build a company from cutting-edge research? And how do you convince Venture Capitalists to support your quantum computing company?
Deep tech companies are based on significant scientific or engineering challenges, such as artificial intelligence, blockchain, nuclear fission and every other crazy thing you can and cannot yet imagine.

My name is Philipp. Currently, I am a PhD student in theoretical physics and in Deep Tech Stories, I explore the tech and stories behind exciting start-up founders and researchers in the deep tech space.

You can find more on deeptechstories.io

This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

Deep Tech Stories Philipp Stürmer

    • Technology

What do you need to start a nuclear power start-up? How do you build a company from cutting-edge research? And how do you convince Venture Capitalists to support your quantum computing company?
Deep tech companies are based on significant scientific or engineering challenges, such as artificial intelligence, blockchain, nuclear fission and every other crazy thing you can and cannot yet imagine.

My name is Philipp. Currently, I am a PhD student in theoretical physics and in Deep Tech Stories, I explore the tech and stories behind exciting start-up founders and researchers in the deep tech space.

You can find more on deeptechstories.io

This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

    Cerebriu CEO Robert Lauritzen - Revolutionizing medical imaging with machine learning

    Cerebriu CEO Robert Lauritzen - Revolutionizing medical imaging with machine learning

    Have you ever laid inside an MRI machine, listening to the loud buzzing and thumping sounds, wondering what's going on outside?
    It's a strange experience, lying there, helpless, relying on the machine to give doctors a glimpse inside your body.
    But in the end, the doctors still need to interpret that glimpse by themselves, often with the help of a radiologist, which takes time and resources.
    So it seems like the perfect task to automate and reach super-human performance using Machine Learning, right?
    That's exactly what Robert Lauritzen and his Co-Founders at Cerebriu thought as well.
    Robert himself has a long entrepreneurial history, which prepared him perfectly for revolutionizing medical imaging techniques, starting all the way back during high-school.
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 26 min
    Casper Wilstrup - Self-management, transparency and a new kind of AI to revolutionize science

    Casper Wilstrup - Self-management, transparency and a new kind of AI to revolutionize science

    So it's 2012, and Casper is at the end of a sabbatical he started after leaving the hardware startup he started during his studies, Unispeed, at the Niels Bohr Institute in Copenhagen.
    Just as he was starting to head back into the job market, deep learning achieved a major breakthrough in object classification, propelling the technology to the heights it is now.
    This is also when AI sparked Casper's interest, and he remembered his old idea.
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 52 min
    Abzu CEO Casper Wilstrup - The Path to inventing a New Kind of AI

    Abzu CEO Casper Wilstrup - The Path to inventing a New Kind of AI

    Modern AI in particular, so-called deep learning is everywhere. Alone in the last few months, a new generation of image generation based on text prompts emerged that is arguably on par with human artists. However, in many crucial applications, the black-box nature of such models is a problem. If you want to let the AI drive a car, no regulator or decision maker will allow it. The same is true for any applications that deal with scientific understanding. You want to understand why the AI comes to its prediction and which parts of your dataset are essential.
    But there is a different approach to AI that would be able to solve this black box problem. So-called symbolic regression, instead of obtaining several million or billions of parameters, which make up your model, you would get an equation that the person can understand just by looking at it.
    The problem is symbolic regression is insanely hard to do. In fact, it is so tricky that no one has managed to use it for anything than the most basic toy models. No one but a small Danish startup called Abzu, which just received a 2.5 million Euro grant from the European Union to apply their symbolic regression algorithm to drug discovery.
    Abzu's CEO Casper Willstrup an avid Coder, ever since his childhood, initially came up with the idea for Abzu, the QLattice, during his physics studies in the mid-90s. Ever since he came up with the idea to solve symbolic regression, his career took many twists and turns, all leading back to him studying physics and getting his first computer when he was nine years old.
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 38 min
    Martin Hassler Hallstedt turning a Psychology PhD degree into a research based Maths gaming app

    Martin Hassler Hallstedt turning a Psychology PhD degree into a research based Maths gaming app

    In this second episode with Martin Hassler Hallstedt in Deep Tech Stories, we continue where we last left off. Martin just finished his PhD degree in Psychology. The degree he started with the purpose of building an app, making the most recent empiric learning research available to kids teaching them maths.
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 26 min
    Martin Hassler Hallstedt on using Psychology research to teach kids Math

    Martin Hassler Hallstedt on using Psychology research to teach kids Math

    If you look at the majority of education systems, you'll notice that there is little to no change between today's kid's experiences and their parent's or grandparents.
    Yet the rest of the world never stopped evolving. Our old education systems are just not suited anymore to cope with the requirements of the modern world. Especially when it is estimated that 65% of today's children will have jobs that don't yet exist.
    One way to fix this is by bringing modern tech into the classroom and individualising the learning process. Not only does one gather information about every student, but it also increases their well-being and performance. One of the people doing that is Martin Hassler Hallstedt, turning his Psychology PhD project into a Maths learning app called "Count on me" for young kids. Why maths? Well, maths is the best predictor of later academic success, even more than reading comprehension.
    But his path didn't always seem to guide him towards math ...
    Chapters:
    00:00 Introduction
    02:46 Martin's First Crush on Learning at School
    06:04 How Cognitive Behaviour Therapy can help you become more skilled at something
    09:38 Maths as the most important predictor for later learning
    11:59 Why one size doesn't fit all in education
    15:02 What is the gap between research and what we know?
    18:11 How to utilise the attention span in a ten year old
    19:56 How did Martin get involved in a CBT app?
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/
    This episode was edited by Jonas Fuksa


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 23 min
    Karin Ebbinghaus on how she changed careers to become a Deep Tech CEO

    Karin Ebbinghaus on how she changed careers to become a Deep Tech CEO

    For some people, the entrepreneurial path seems like the most obvious. Others fall into it after a long time of trying out other things. Other people again actually never start a company but have so much operational talent and domain knowledge that they've learned throughout their career, that they still end up as the spearhead of the company. Karin Ebbinghaus is one of those last people. For the majority of her career, she worked in the legal field, becoming an expert in mergers and acquisitions, to later leverage that knowledge as an Investment Manager at a GreenTech fund. This is where she eventually came across Elonroad ...
    Last episode:
    If you enjoyed this episode, why not recommend it to a friend?
    Homepage: https://www.deeptechstories.io
    Podcast Twitter: https://twitter.com/deeptechpod
    My Twitter: https://twitter.com/sturmerph
    LinkedIn: https://www.linkedin.com/company/deeptechstories
    Music by Nathaniel Drew x Tom Fox:
    https://www.nathanieldrew.com/
    https://tfbeats.com/
    Design by Amadeus Schwed:
    https://elementsofpuremotion.com/


    This podcast uses the following third-party services for analysis:

    Chartable - https://chartable.com/privacy

    • 26 min

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