Lea van Dissel

DC6

Unravelling the complexity of the sebum lipidome and the modulation of protein structure by lipids found within

University of Manchester (Manchester, United Kingdom)

Background

My academic journey began with my Bachelor’s degree in Chemistry at both the University of Amsterdam and the Vrije Universiteit Amsterdam. I completed my BSc in 2022 with an internship studying the formation of oligomers from protein segments linked to amyotrophic lateral sclerosis (ALS). During this time, I discovered my passion for analytical chemistry, particularly mass spectrometry, and the part it can play in defining both small and large molecules.

Following this, I pursued a Master’s degree in Analytical Chemistry, again at both the University of Amsterdam and the Vrije Universiteit Amsterdam. After a year of coursework, I completed my MSc in 2024 following a nine-month collaborative internship between the Vrije Universiteit Amsterdam and the University of Manchester, where I studied an analytical screening platform and its applications in Parkinson’s disease diagnostics. I witnessed how scientific breakthroughs emerge when expertise from multiple fields and institutions comes together through collaboration with diverse research groups. My academic background and research experiences showed me my interest in bioanalytical chemistry and its applications in studying disease progression and diagnostics.

During my time in the MobiliTraIN network, I expect to develop knowledge, build collaborations, and connect with other academics in the consortium to share science. Through this network, I aim to contribute to advancements in ion mobility research while benefiting from a collaborative scientific community dedicated to tackling complex challenges.

Secondments

Universitäts Klinikum Jena (UKJ)

Country:  Germany

Duration: 3 months

Purpose: Learn complementary proteomics workflows to the lipidomic workflows in the main project using TIMS-TOF instrumentation and establish data analysis pipelines for multidimensional data

Micromass UK Ltd. (Waters)

Country: United Kingdom

Duration: 3 months

Purpose: Establish data analysis workflow to quantify from data with multiple ATD per m/z value