Pawandeep S.
Research Technician
Experience
May 2025 - Nov 2025
7 monthsMünster, Germany
Research Technician
QIMA Monasterium GmbH
- Establishing flow cytometry experiments including NGS workflow antibody panel design to investigate how various drug treatments affect TNF receptor expression and influence activation and exhaustion of human-derived T cells.
- Investigated effects of drug treatments on a human ex vivo wound healing skin model at defined time points; assessed wound healing by performing PAS staining and quantified the length of the epithelial tongue following injury.
- Conducted projects investigating effects of drug treatments on hair follicles and ex vivo wound healing skin samples at the transcriptomic level by analyzing expression of specific target genes using quantitative PCR (qPCR).
- Managed daily ordering and inventory of laboratory consumables and equipment following ISO 9001 standards.
Nov 2020 - Oct 2023
3 yearsLyon, France
Marie Curie Early Stage Researcher (Ph.D. Student)
Institut Neuromyogène
- Analyzed single-cell datasets from muscular dystrophy inflammatory mice models (mdx and D2mdx) to identify macrophage subsets exhibiting different surface markers in fibrotic conditions and confirmed subsets in vivo by flow cytometry.
- Identified differences in spatial distribution of macrophage subsets in fibrotic regions of D2mdx mice by immunocytochemistry.
- Performed cell culture experiments (immunofluorescence and fluorescent imaging) coculturing muscle stem cells and NIH3T3 cells with macrophages activated by protein extracts from D2mdx, mdx, and regenerating muscle, highlighting negative impact on regeneration and positive impact on fibrosis; estimated TGF-β by ELISA.
- Conducted siRNA-mediated knockdown experiments on bone marrow-derived macrophages to identify role of a transcription factor in resolution of inflammation during muscle regeneration.
- Maintained up-to-date wet lab experimental records and generated data ensuring 100% accuracy on Labguru.
- Performed bioinformatics analysis of sequenced data using Python Scanpy in Jupyter notebook on Linux operating system.
Summary
M.Sc. Biologist with 3+ years of research and industry experience, combining expertise in immunology, molecular biology, and advanced data analysis. Skilled in designing complex experimental problems, interpreting high-dimensional datasets (scRNA-seq, flow cytometry, imaging), and translating biology knowledge into structured insights. Strong written communication, attention to detail, and proven ability to bridge life sciences with data-driven approaches, eager to contribute domain expertise to AI model development.
Languages
English
NativeGerman
ElementaryEducation
Oct 2016 - Dec 2019
Ludwig Maximilians University
Masters of Science Biology · Biology · Munich, Germany · 1.58
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