Curriculum Vitae
Academia
Nov. 2024 ‑ present: Postdoctoral researcher in Medical Bioinformatics
UMG ‑ Department of Medical Bioinformatics Göttingen, Germany
- Development of condition‑aware deconvolution of immune cell compositions from bulk RNA‑seq
- Dissecting immune dysregulation and identifying biomarkers in Long COVID using deconvolution and network models
Mar. 2021 - Oct. 2024: Dr. rer. nat. in Medical Bioinformatics
Georg‑August‑University Göttingen & International Max Planck Research School for
Genome Science (IMPRS‑GS) Göttingen, Germany
- Thesis: Computational Analysis of Prognostic Factors, Immune Microenvironment, and T‑Cell Receptor Repertoires in Lymphoma
- Supervisor: Prof. Dr. Michael Altenbuchinger
- Grade: magna cum laude
Nov. 2018 ‑ Feb. 2021: Master of Science in Biology
University of Regensburg Regensburg, Germany
- Thesis: Computational Analysis of Protein Expression in Diffuse‑Large B‑Cell Lymphoma
- Supervisor: Prof. Dr. Rainer Spang, Dr. Gunther Glehr
- Grade: 1.1 (Thesis), 1.3 (Overall)
Oct. 2014 ‑ Oct. 2018: Bachelor of Science in Biology
University of Regensburg Regensburg, Germany
- Thesis: Generation and Characterization of Protein Tags for Chemical Coupling of HIV‑1 Env to Nanoparticles
- Supervisor: Prof. Dr. Ralf Wagner, Dr. David Peterhoff
- Grade: 1.1 (Thesis), 2.4 (Overall)
Industry
Dec. 2012 ‑ Sept. 2014: Office Administration
K+B Expert Schwandorf, Germany
Dec. 2011 ‑ Nov. 2012: Management Trainee & Deputy Store Manager
BabyWalz Regensburg, Germany
Sept. 2008 ‑ Nov. 2011: Bachelor Professional of Trade and Commerce (CCI)
Chamber of Commerce and Industry Dresden, Germany
Skills
Programming: R (including R Shiny), Python, Linux; Docker, High‑Performance Computing, GitLab version control
Data Analysis: scRNA‑seq, bulk RNA‑seq, TCR‑seq, regression (linear, logistic, Cox, LASSO), survival analysis (Kaplan‑Meier, Cox regression with time‑dependent covariates), ANOVA, enrichment analysis, clustering, dimensionality reduction (PCA, UMAP, tSNE), normalization techniques, digital cell type deconvolution, visualization of immune trajectories
Wet Lab: PCR, cloning, protein purification, western blotting, RNA extraction, ELISA, FACS, and general molecular biology techniques
Project Management: Project coordination, task tracking, version control and code reviews (Notion, Confluence, GitLab); team communication (Slack, Zoom); teaching, collaborative writing and documentation (Jupyter, RMarkdown, Overleaf, Google Docs)
Languages: German (native); English (fluent)
DynaMiCs
Deconvolution method that learns ensembles of mixed‑condition reference profiles to improve predictions across heterogeneous sample groups
HIDE
Deconvolution approach that preserves underlying cell‑type hierarchy for improved performance and interpretability
TCRanalyzer
Tool for analyzing T‑cell receptor repertoires, including diversity, clonality, and antigen prediction
Deconomix
Tool for integrating deconvolution with background correction and inference of cell‑type‑specific gene regulation
PriOmics
Graphical‑model framework for integrating peptide‑level proteomics with other omics to separate protein abundance effects from co‑ and post‑translational modifications
Home
About me
Publications
Peer-reviewed research articles and preprints
Conferences
Presentations at scientific meetings
Teaching
Courses, lectures and student mentoring
Contact
Mail: nicole.seifert@bioinf.med.uni-goettingen.de