Work
My goal is to contribute to the understanding of the driving biological mechanisms of diseases in order to develop new cures, with a special fascination for our immune system. I am particularly interested in combining existing public resources, mechanistic understanding of diseases, and high throughput/omics data using computational methods to a more complete picture of the underlying causes.
Relevant experience
Incoming | October 2024
Mann Lab Max Planck Institute for Biochemistry | Munich
PhD studies in the department for Proteomics and Signal Transduction.
May 2023 - July 2024
Shalek Lab Broad Institute | Ragon Institute of Harvard, MIT and MGH | IMES/MIT | Boston
Metaanalysis of recurrent T cell states in health and disease. Development, validation, and application of a novel deep learning model for the integration of experimental side information with single-cell RNAseq data (\(\rightarrow\) scCoral).
September 2022 - December 2023
Alexandrov Lab EMBL Heidelberg | Heidelberg
Integrating immunocytochemistry with single cell metabolomics in primary human CD4+ T cells for drug screening. Experimental work, data analysis and computational work.
February 2022 - March 2023
Graeter Lab Heidelberg Institute for Theoretical Studies | Heidelberg
Evaluation of the membrane permeability of small molecules with molecular dynamics simulations. Establishing a computational pipeline for data analysis (\(\rightarrow\) Manuscript).
May 2022 - July 2023
Russell Lab Bioquant | Heidelberg
Computational biology. Evaluating the pathogenicity of missense variants in protein domains using public resources.
March 2022 - October 2023
Hartmann Group Max Planck Institute for Biology | Tübingen
Establishing a biophysical assay for the screening of natural and artificial ligands of the E3 ligase Cereblon.
Education
2021 - 2024
Biochemistry M.Sc. Ruprecht-Karls-University Heidelberg | Heidelberg
Final Grade: 1.0
Computational biology, biophysics, drug discovery
2018 - 2021
Biochemistry B.Sc. Eberhard Karls University Tübingen | Tuebingen
Final Grade: 1.1
Publications
- L. Diedrich, M. Brosz, T. Abele, N. Urbanek, S. Steinke, F. Gräter, K. Göpfrich, C. Aponte-Santamaría, Energetics and Kinetics of Membrane Permeation of Photoresists for Bioprinting. Adv. Funct. Mater. 2024, 34, 2315731. https://doi.org/10.1002/adfm.202315731
Software
Languages
Python (advanced)
R (intermediate)
Bash (advanced)
Software packages
ipathapy Python | github
A python package to create metabolic path maps with ipath3
sccoral Python | github | docs
A variational autoencoder with linear decoder for the inference of interpretable gene programs from single-cell data
Rewards + Scholarships
December 2020 - March 2024
German Scholarship Foundation
April 2024 - July 2024
ERASMUS+
March 2020 - December 2020
Deutschlandstipendium
Social
2023
Member/Organizer German American Conference
Functional team social events
2022 - today
IT-Team Student Body Chemistry/Biochemistry, Heidelberg
Member - Maintenance of website and IT infrastructure, email communication.
2020-2021
Treasurer Student Body Biochemistry, Tübingen
Treasurer of for the student body, an organization with 300 members.
2021
STEM representative University of Tübingen
Representing the subject biochemistry at local high schools to motivate young talents for a career in STEM.