It is a shame that Drew first arrived in Sweden in January last year when the weather was awful – it was raining everything it could possibly rain and everyone was so busy discussing the weather conditions that they forgot to write a welcome post for Drew (it is important to note that Drew himself […]
Category Archives: Research
06
Apr
Apr
We are happy to share that our team is growing even more! Two new students joined our group. Lucia is a Master’s student in chemistry and has joined our group as an intern for this semester. Together with Yvonne, they are using their non-artificial neural networks to develop an artificial neural network that could be […]
31
Mar
Mar
This month we were able to welcome our new post-doc Henrik to our group. Recently, Henrik successfully defended his PhD thesis about noncovalent interactions to construct supramolecular switches at Freie Universität Berlin. Here, his work will focus on the design of sustainable derivatization reagents for pesticide detection with LC/HRMS. A machine learning algorithm will be […]
25
Mar
Mar
On my third try, I was finally able to participate in Pittcon last week. This year Pittcon took place in person in Philadelphia, US. I was lucky enough to present our recent works in two presentations, one on quantitative nontarget screening (NTS) and the other on toxicity prediction for unidentified chemicals. You can find my […]
07
Mar
Mar
We have two new students doing their diploma work in our group: Gordian Sandberg and Yuki Ishikawa. Gordian started an eight-week internship in January and has recently decided to prolong his stay to turn his project into a MSc thesis. He is aiming to improve the prediction accuracy of retention times in non-target LC/HRMS using […]
14
Feb
Feb
From January to April Drew is doing an internship at the University of Copenhagen at the Group of Jan H. Christensen. During these months he tests applying desorption electro spray ionization (DESI) as a direct way of monitoring emerging contaminants in textiles in non-targeted analysis.
04
Jan
Jan
As I am writing this, 2022 is approaching its last hours, and it is high time for a throwback to the year, my friends, and a bit of peaking into the upcoming 2023. 2022 was a very fruitful year for Kruvelab. Since I moved to Stockholm University in mid-2019 I have been building – with […]
23
Dec
Dec
In January a collaborative project on improving machine learning prediction accuracy for quantification in non-target screening started between our group and the group of Meelis Kull at the Institute of Computer Science at the University of Tartu kicked off. In the summertime, two PhD students, Louise Malm and Wei Chieh (Harry) Wang joined the project. […]
26
Oct
Oct
Last Tuesday Jon Sobus from EPA presented some of the findings from a recent paper Uncertainty estimation strategies for quantitative non-targeted analysis, where we were also happy to collaborate, on the BP4NTA online meeting. People from BP4NTA meetings have been reaching out with questions on ionization efficiency-based quantification. Some of these are often asked of us and I decided […]
03
Oct
Oct
This is Yvonne, a second-year Master’s student in Analytical Chemistry. There are two things she cannot get enough of – hiking and gaining new knowledge. Yvonne has just started her Master’s thesis in which she is exploring the possibility of using deep learning for toxicity predictions. She is training an autoencoder to compress the HRMS […]