Category: News

Successful PhD Defense – Unraveling the Mysteries of the Translatome.

On March 12th Håkon Tjeldnes successfully defended his PhD thesis titled: Unraveling the Mysteries of the Translatome.
Protein synthesis, also called translation, is a fundamental process in gene regulation. The translation process consists simply of molecules, called ribosomes, using RNA as a template to create proteins that the cell needs. However, it has been uncovered that translation processes are much more complex than initially assumed. To explore protein synthesis at a detailed level, the development of “Ribo-seq,” also known as Ribosome Profiling data, has been crucial. Ribo-seq is a molecular biological technique that enables the observation of ribosome activity. In his work, he has focused on current challenges in the field by proposing practical and applicable solutions. The thesis presents a collection of tools specifically developed for the analysis of Ribo-seq data. These contributions aim to fill existing gaps in the field and provide researchers with valuable resources to expand their understanding of translation processes: www.ribocrypt.org

Florian Pierre Echelard – New PhD researcher

We are welcoming a new PhD student at CBU! Florian Pierre Echelard has Master’s degree in Bioinformatics, specialized in biostatistics and structural bioinformatics from Nantes Universitéstarted. His PhD project is a part of the collaboration between labs with expertise in Bioinformatics, Deep Learning and Biochemistry under the supervision of prof. Nathalie Reuter. The goal is to further the knowledge of Peripheral Membrane Proteins using a combination of data and pipelines already developed and more recent work.

Fynn Frederic Wolf – new PhD student

This week we have welcomed Fynn Frederic Wolf as our new PhD student. Fynn received his Master’s degree in Physics with specialization in biophysics from the University of Copenhagen in 2021. PhD topic will be on the formation of stress granules. The focus will lie on the description and modelling of the system pathway. Wolf will be supervised by prof. Sushma Nagaraja Grellscheid and prof. Susanna Röblitz from the Department of Informatics.

PhD Internship From Digital Life Norway

Parveen Gartan and Belén García Pascual have been awarded a PhD internship from Digital Life Norway. Parveen is a PhD student at the Dpt of Chemistry and CBU in the Reuter group and will spend three-months at Astra Zeneca. Belén is at the Dpt of Mathematics, in the CBU-affiliated Stochastic Biology Group and will spend her internship at DNV. CBU is proud and excited to see Parveen and Belén going to explore opportunities outside the academic “bubble”.

Joint CEDAS-NORBIS Summer School

CEDAS, the Center for Data Science at the University of Bergen, and NORBIS, the Norwegian Research School in Bioinformatics, Biostatistics, and Systems Biology, invite both starting and experienced data scientists to an exciting joint summer school on data science and its biomedical applications from 7-11 August 2023.

The summer school will be held in Bergen at Hotel Zander K. It is mainly intended for PhD candidates, but also Postdocs and other researchers interested in learning more about data science are welcome to attend. As data science is relevant across a wide range of disciplines, we hope that we will be able to attract a diverse group of participants.

The summer school will feature keynotes, theoretical and practical sessions on Machine Learning, Statistics, and Visual Data Science, as well as a social program.

For more information, please visit the official summer school website: Joint CEDAS-NORBIS Summer School 2023

Successful PhD Defense

A Modelling-Based Investigation Of The Dynamic Behavior Of Reproductive Hormones In Girls And Wom

On May 5th Sophie Fischer-Holzhausen successfully defended her PhD thesis titled: A matter of timing – A modelling-based investigation of the dynamic behavior of reproductive hormones in girls and women. Female health is an important but often understudied field of human health. Consequently, a considerable number of individuals of reproductive age experience one or more menstrual disorders in ways that effects their abilities to work and contribute (https://news.mit.edu/2022/events-illuminate-critical-need-menstruation-science-1003). Understanding the endocrine control of the female reproductive system is one element that will help us to improve this situation. Hereby, mathematical models provide us with concepts to integrate the knowledge we have about the endocrine control of menstrual cycle in a systematic way, help to understand complex regulation processes and predict – with some uncertainty – the effect of treatments. In her thesis Sophie presents mechanistic models describing the endocrine regulation of the female reproductive system with focus on the hypothalamic-pituitary-gonadal axis (HPG axis). Her scientific work is presented in three research articles. The first two publications present a mechanistic model of the mature HPG axis and its interactions with the process of follicle maturation (folliculogenesis). The model parameters are investigated and the application of the model to predict the effects of hormonal medication is demonstrated. In a third scientific publication, Sophie proposes a Bayesian updating workflow that allows the incorporation of cross-sectional data in the model calibration routine.