Silu Lin
Freiburg Im Breisgau
Summary
Highly motivated and skilled molecular biologist with extensive experience in bioinformatics and biostatistics. Proficient in analyzing multi-omic data, developing bioinformatic pipelines, and utilizing programming languages such as R, C++, Unix, bash, and high-performance computing. Experienced in using documentation tools like Git, Jupyter, and RMarkdown to communicate research effectively. Demonstrated ability to apply multivariate analysis, Bayesian statistics, and advanced bioinformatics methods to answer biological questions.
Overview
2
2
years of professional experience
Work History
Postdoctoral Researcher
University of Freiburg
07.2022 - Current
- Applying bioinformatics and statistical methods to understand molecular mechanisms linked to longevity
- Lecturing in master courses about bioinformatics and the biology of aging
- Designing and supervising student projects
- Mathematical modelling using C++ and R
- Extracting RNA/DNA and generating NGS transcriptomes.
- Drafted 2 manuscripts (1 published) and presented findings at 4 major conferences.
- Collaborated with international teams to accomplish research goals.
Education
Ph.D. - Molecular Biology
University of Freiburg
Freiburg Im Breisgau, Germany08.2022
Ph.D. - Computational Biology
University of Groningen
Groningen, Netherlands08.2022
Master of Science - Applied Ecology
University of Exeter
Cornwall, UK09.2018
Skills
- Next-generation sequencing (Illumina/PacBio)
- R, C, Bash, Unix, Git, High-performance computing
- Multivariate analysis, Bayesian statistics,
- Bioinformatics and phylogenetic analysis including gene expression/co-expression analysis, genome/transcriptome assembly, and annotation
- Advanced English, Chinese, and intermediate German skills
- Wet lab: RNA/DNA extraction
- Scientific writing and reporting
- Presentation and communication skills
- Teaching experience
- Adaptability and Flexibility
Publication
- Lin, S., Elsner, D., Ams, L. et al. A genetic toolkit underlying the queen phenotype in termites with totipotent workers. Sci Rep 14, 2214 (2024).
- Lin S, Pen I, Korb J. Effect of food restriction on survival and reproduction of a termite. J Evol Biol. 2023 Mar;36(3):542-549.
- Lin S, Werle J, Korb J (2021) Transcriptomic analyses of the termite, Cryptotermes secundus, reveal a gene network underlying a long lifespan and high fecundity. Comm Biol 4:384.
- Korb J et al…. (2021) Comparative transcriptomic analysis of the mechanisms underpinning ageing and fecundity in social insects. Phil Trans R Soc B 376:20190728.
Reference
- Jun. Prof. Dr. Jonathan Henshaw, University of Freiburg, jonathan.henshaw@biologie.uni-freiburg.de
- Dr. Volker Nehring, University of Freiburg, volker.nehring@biologie.uni-freiburg.de
Timeline
Postdoctoral Researcher
University of Freiburg
07.2022 - Current
Ph.D. - Molecular Biology
University of Freiburg
Ph.D. - Computational Biology
University of Groningen
Master of Science - Applied Ecology
University of Exeter
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