Tag Archives: machine learning

SCS2025

Last week the 3rd National Meeting of the Swedish Chemical Society, SCS2025, took place. The conference was hosted in a wonderful venue at the Steam Hotel in beautiful Västerås. Our group was happy to participate in two oral and two poster presentations. PhD students Louise Malm and Iris Hättestrand presented posters about their ongoing research. […]

Analytical Solutions 2025

This week I was very happy to participate in the Analytical Solutions 2025 in The Netherlands. This year’s meeting focused on Artificial Intelligence Solutions for Laboratory Technology. I had the honor to present our work on predicting toxicity and concentration form the analytical information, e.g., tandem mass spectra, with MS2Tox (Peets et al., Rahu et […]

SETAC Europe 35th Annual Meeting Vienna

Last week, the 35th Annual Meeting of the Society of Environmental Toxicology and Chemistry (SETAC) took place in Vienna, where Harry had the opportunity to present his research through a platform presentation, and Lucas contributed with a poster! Let’s hear what they have to tell: I was excited to present my work at SETAC last […]

The 2nd Nordic Conference on Computational Chemistry

On the 18th and 19th of March, the 2nd Nordic Conference on Computational Chemistry was held in Gothenburg. The conference program was diverse and included many engaging talks focused on machine learning tools and approaches used in drug development. Although our group primarily focuses on environmental contaminants, we found many of the presentations and discussions […]

Amina Souihi nailing her thesis

Today Amina Souihi, the first graduating PhD student from the Kruvelab at Stockholm University, nailed her thesis alongside a practice presentation in the department. In the last five years, Amina has been working on developing machine learning methods for improving the detection and identification of chemicals with liquid chromatography high-resolution mass spectrometry in non-target screening. […]

Guests in Stockholm!

The summer is finishing at Stockholm but we have had very exciting research visitors in the last weeks and a lot of exchange of new ideas. In the last weeks, we have had Prof. Juliane Hollender from Eawag visit the Department of Environmental Science, SU. This gave space for discussions of research activities on toxicity […]

9th Strasbourg Summer School in Chemoinformatics 2024

I was pleased to participate in the 9th Strasbourg Summer School in Chemoinformatics in Strasbourg, France, from June 24th to June 28th. It was an honor to be offered the opportunity to present my research, which currently focuses on evaluating the applicability of machine learning active learning workflow in environmental analytical chemistry. Facing vastly different […]

A warm welcome to our new group members Alice and Lucas

This week we want to welcome two new students to Kruvelab: Alice Kollmitz and Lucas Ferrando Plo. Originally from Spain, Lucas recently finished his MSc degree in Germany. His objective was to elucidate the origin of anthraquinone residues in the leaves of English walnut tree (Juglans regia). In our group, he is the first of […]

Welcome to Kruvelab, Lena and Ida!

We’re excited to introduce Lena Aisch and Ida Rahu, our latest additions to the group. Lena recently joined us for her MSc thesis, focusing on interpretable machine learning for the detection of toxic chemicals in non-targeted LC/HRMS. Lena came to Sweden for the master’s programme in analytical chemistry at Stockholm University, and we are thrilled […]

Accelerate Conference 2023

Under the theme “A materially better future for everyone” the Acceleration Consortium hosted the Accelerate Conference 2023 in Toronto from 22nd to 25th of August. For me it was the first chance to meet people from the field of machine learning based material design in person after reading many papers over the last months. The […]