Project with Daniel

My friend Daniel is also doing a Ph.D. We have started a project together where we look at the control of chromatography systems. It’s great to work together with someone on something once in a while; Ph.D. studies tend to focus only on yourself and your research otherwise. My current aim in the project is to compare two chromatogramsContinue reading “Project with Daniel”

Teacher of the year – again!

Today I had the honor of receiving the prize for best teaching assistant of the year from the M-guild at LTH. I’m so proud and delighted about this prize. This semester, we taught in the classroom (instead of online as during Covid). I had seminars that were similar to webinars, as I have written about before.Continue reading “Teacher of the year – again!”

Mathematics for Machine Learning

Few books that I read give me the feeling that they are written for me, but the book Mathematics for Machine Learning does. The book’s authors start from the basics and present advanced mathematical concepts in an understandable way. If you ever want to get “under the hood” of machine learning, I suggest you start here.

vBCI – reflections

I visited my first conference this spring. I presented a poster (abstract and video) for an adaptive approach to the calibration of BCI systems. I was very nervous before it started, but it was great – so much inspiration and new ideas. Some thoughts that I bring to the next conference I visit: Don’t be afraid toContinue reading “vBCI – reflections”

Summer BCI project

So far during the summer, a colleague (Martin Gemborn Nilsson) and I have been working on setting up a real-time BCI system. We had our struggles, but in the end, we managed. We used Timeflux and Psychopy. The BCI system detects the user’s workload (“how hard is the user thinking”). To calibrate, the user does an n-back experiment where theContinue reading “Summer BCI project”