Deepinsight has been growing, and we are thrilled to welcome our newest Deeps, Eirik, Henrik and Carl Martin to the company. We are excited to have them on board and the additional competencies the new members bring to the company.
We’ve had a chat with them to get to know them better and figure out what brought them to Deepinsight.
Eirik Løhaugen Fjærbu, Data Scientist
Education: Ph.D in Theoretical Physics from NTNU. Wrote a thesis about quantum phenomena in nanostructures involving magnets and metals.
Go-to spare time activity: Lindy Hop (20s swing): I spent a lot of time on courses and other activities with this kind of dancing before Covid, hoping to start again in the fall.
- What made you join Deepinsight?
I wanted to do more collaboration and teamwork, and in general work with interesting people. Also, machine learning seems like an interesting field, and in particular the healthcare initiatives Deepinsight is embarking on are very exciting.
- How has your first time in Deepinsight been?
Both hectic and relaxed. There is a lot of stuff to learn, and things are happening quickly, but also the tone is very relaxed and there have been a lot of social activities and great people to meet.
- What areas in society do you think would greatly benefit from artificial intelligence?
I believe most areas could benefit to some degree from using AI in their operations. A good example would be healthcare, where I see a lot of potential for AI to support doctors and nurses in their day-to-day job.
Henrik Anfinsen, Data Scientist
Education: M.Sc and Ph.D in Engineering Cybernetics from NTNU, Trondheim, in addition to a teacher's degree in mathematics, physics and natural sciences from NTNU and University of Bergen (UiB).
- What made you join Deepinsight?
I was eager to join a growing company developing interesting and useful stuff, after having spent the last several years in academia developing not-so-useful (and highly theoretical) stuff. In Deepinsight I get the opportunity to develop and deploy code and algorithms that can be applied to real-life cases.
- How has your first time in Deepinsight been?
I have acquired a lot of new knowledge that comes in handy to develop my data scientist skills. One of the topics that I have spent time on learning about is natural language processing, as well as other useful, general data science tools.
- What areas in society do you think would greatly benefit from artificial intelligence?
I believe there are a lot of areas that would benefit from AI, but we are still unaware of many of them - or we just haven’t tried applying AI on them yet. For example, healthcare is a sector where we will probably see increased use of AI in the years to come.
Carl Martin Haug, Senior Software Engineer
Education: GitHub, Stack Overflow and Google
Go-to spare time activity: Gaming, gadget and tech. I really enjoy gaming, it helps me to reset, restart and get on with any task in my way. When I'm not gaming or hanging out with my family, I tend to read and study to get updated on the latest trends on GitHub
- What made you join Deepinsight?
I needed a solid foundation in my life and career, and Deepinsight provided both. Also, it's seriously a bunch of awesome people. I wanted to join a place where I could continue to grow and nourish my skills, so learning about all the incredibly smart and talented people that work at Deepinsight, I had to take the leap.
And they gave me a hoodie. It was probably the hoodie. :D
- How has your first time in Deepinsight been?
Scary, exhilarating and full of Jørgen and Eirik, who I work together with on a project. It's been really good. The Deeps have been really warm and welcoming. I got to meet almost everyone at the summer party and I swear even though I hadn’t met most of these folks before, it felt like those good old summer days where you would just hang around with your friends.
- What areas in society do you think would greatly benefit from artificial intelligence?
I'm biased towards the health industry for both patients, personnel and animals alike. And of course, IT. It's been eye opening studying the progress and where we currently stand. At this point in time, I can generate whatever code I need by simply asking GPT-3. You can now draw a doodle of how you would like your webapp to look, and the network will generate it. The future is now, and I'm enjoying it.