Welcome to new NCMM Researchers
The Centre warmly welcomes the three new researchers who have joined NCMM in recent months
NCMM/Forskningsparken. Photo: John Hughes
Martin joined the Waszak group as a researcher in February 2021. After his studies at the University of Bielefeld and the Freie Universität Berlin, he received a Master's degree in Bioinformatics in 2011. Martin worked as a software developer and data analyst in a health IT company before he started his PhD in 2015, where he studied gene regulation in neuroblastoma in the Ohler and Schwarz research groups at the Max Delbrück Center for Molecular Medicine, Berlin.
With the Waszak group Martin will be working on the genetic and epigenetic basis of pediatric brain tumors.
Frida is a first year masters student in Civil Engineering Bioinformatics at NMBU. She has joined the Wazsak group as a research assistant and, in spring 2022, she will write her Master’s thesis at NCMM under the guidance of Sebastian.
Frida has a BSc from OsloMet in Chemistry- and Biotechnology Engineering, where she wrote her thesis in analytical chemistry at the Norwegian Defence Research Establishment (FFI). Frida's motivation for obtaining a degree in biotechnology and bioinformatics has always been to join the medical research community.
Maria Àngeles Jimènez Sigstad
Maria has joined the Chemical Biology Platform as a Head Engineer in Bioinformatics. Maria has lived in Argentina and the UK. She has a background in Biological Sciences from Argentina and a MSci in Neuroscience from the University of Nottingham, UK. She has been coding as a hobby since the age of 9, and started working as a Bioinformatician at COMPARE (The Centre of Membrane Proteins and Receptors), University of Nottingham. There, she was a Research Associate and worked to build Machine Learning predictors for G protein-coupled receptors’ targets, contributing to drug discovery projects. She will have many responsibilities as part of her role, including:
- Automatising Data Analysis via the creation of flows and software depending on the need of the users.
- Strengthening the user-experience with the OUS users.
- Applying new techniques, such as Cell Painting.
- Updating the Databases and creating new protocols for Data Storage.
- Translating output that comes directly from the robots and/or instruments to a user-friendly format that allows the users to work further on with their respective results.
- Make appropriate models that allow the usage of empirical/lab data to make connections to publicly available biological/chemical data (could be structure-based or digital/in silico).