About me
Firstly - thank you for your interest!
On data and research:
I like to think that data is the output of research activities. Knowledge then comes from learning to understand that data. Eventual understanding implies having built the capacity to explain it to another: in a nutshell, I like to think that to do research is to learn and to teach of what you learn.
On data sources:
My favorite data sources are Nuclear Magnetic Resonance Spectroscopy, High Resolution Mass Spectrometry, Sensors (lab: eg Almemo, Portable: eg accelerometers), and open-source intelligence (academic publications included). I believe in that quantity is a quality of it's own and automation thus can bring froward what manual experiments lack: bulk.
Who am I?
I am a researcher first, a chemist second. I am passionate about data, programming, automation, and chemistry. I enjoy interdisciplinary research, as it demands creativity and requires a broad skill set.
On programming:
I definitely enjoy coding and use code for data analysis and automation. I am working towards matching the skills of a 1.125x developer (and a pace of 0.889x, more skill == less churn) - the reason being is that chemistry as a field is lagging behind with digitalization. This could be due to the fact that computer science is generally absent from the chemistry degree curriculum in higher ed. I believe the tide will turn when chemists learn to code and true change will come when developers become motivated to learn chemistry.
On why this website exists:
This website is intended as means to bring forward some of the different things from different areas that I worked on in one place.
About me
Firstly - thank you for your interest!
On data and research:
I like to think that data is the output of research activities. Knowledge then comes from learning to understand that data. Eventual understanding implies having built the capacity to explain it to another: in a nutshell, I like to think that to do research is to learn and to teach of what you learn.
On data sources:
My favorite data sources are Nuclear Magnetic Resonance Spectroscopy, High Resolution Mass Spectrometry, Sensors (lab: eg Almemo, Portable: eg accelerometers), and open-source intelligence (academic publications included). I believe in that quantity is a quality of it's own and automation thus can bring froward what manual experiments lack: bulk.
Who am I?
I am a researcher first, a chemist second. I am passionate about data, programming, automation, and chemistry. I enjoy interdisciplinary research, as it demands creativity and requires a broad skill set.
On programming:
I definitely enjoy coding and use code for data analysis and automation. I am working towards matching the skills of a 1.125x developer - the reason being is that chemistry as a field is lagging behind with digitalization. This could be due to the fact that computer science is generally absent from the chemistry degree curriculum in higher ed. I believe the tide will turn when chemists learn to code and true change will come when developers become motivated to learn chemistry.
On why this website exists:
This website is intended as means to bring forward some of the different things from different areas that I worked on in one place.