Nhu (Loc Thuy) T.
Ph.D. Researcher in Quantitative Genetics & Computational Biology
Experience
Doctoral Researcher
University of Cologne
Developed quantitative genetic models using Bayesian methods to estimate heritability and genetic variance.
Generated and analysed large-scale transcriptome (RNA-seq) datasets across diverse plant populations (> 800 samples).
Performed variant calling and downstream DNA-seq data processing.
Conducted GWAS, TWAS, and eQTL analyses to identify genetic associations with traits and gene expression.
Performed functional enrichment and regulatory network analysis to interpret complex genomic data.
Applied machine learning methods (random forest, gradient boosting) using Python to investigate trait architecture and feature importance of high-dimensional data.
Graduate Student
CEPLAS - Cluster of Excellence on Plant Sciences
- Selected in 2021 for a fast-track PhD program focused on interdisciplinary research in molecular biology, plant–microbe interactions, synthetic biology, and theoretical biology.
- Advanced knowledge of data analysis and data visualisation in Python, R, and Bash.
Wissenschaftliche Hilfskraft
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Assisted with insect (spider) identification, lab work, and data analysis for insect DNA barcoding.
Conducted leaf image analysis to quantify herbivory in ecological experiments.
Student Intern
IPK Gatersleben
Investigated KUODA, a novel transcription factor involved in regulating cell elongation in Arabidopsis thaliana.
Studied six members of the KUODA family, including gene expression and functional analysis.
Performed extensive molecular cloning in E. coli as part of construct development for plant transformation and expression studies.
Student Intern
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Analyzed time-series qPCR data to study gene expression dynamics in roots during herbivory in Brassica rapa.
Focused on understanding resource allocation and optimal defense strategies in response to root herbivore attack.
Summary
My journey started in molecular biology, and curiosity led me into the world of computational biology and quantitative genetics. Having worked across every layer of research - from designing experiments to lab work and data analysis - I’ve come to deeply value different perspectives in research, from technical details to big picture.
Having worked in diverse, multi-cultural, and inter-disciplinary environments, I value not only the growth of science itself but also the structures and communities that make it possible. I aspire to work within teams guided by empathy and supportive mindset - values that I believe are just as essential as innovation in moving any community forward.
Languages
Education
University of Cologne
Ph.D. · Quantitative Genetics & Computational Biology · Cologne, Germany
Heinrich-Heine-University Düsseldorf
M.Sc. · Biology · Düsseldorf, Germany
HAN University of Applied Sciences
B.Sc., Molecular Plant Biology · Life Sciences · Netherlands
Certifications & licenses
Bayesian data analysis in R: Theory & practice
Physalia Course
Visualize Your Science
visualizeyourscience.com
Conflict Management
Graduate School for Biological Sciences, University of Cologne · Germany
Success in Companies
Interdisciplinary Graduate and Research Academy Düsseldorf · Germany
Skills for Project Leaders/Managers
Graduate School for Biological Sciences, University of Cologne · Germany
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