Profile Details

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Hire Dr. Mvuyeni N.

Malawi

USD 40 /hr

Freelance Biostatistician & Data Analyst | Plant Genetics & Breeding Expert | Statistical Genomics

Profile Summary

I am a Crop Genetics and Breeding Scientist with a PhD in Crop Genetics and Breeding and extensive experience in biostatistics, statistical genomics, bioinformatics, and agricultural research. My expertise lies in applying advanced statistical and genomic approaches to understand complex traits, improve crop performance, and support evidence-based decision-making in research and development. My research experience includes genome-wide association studies (GWAS), quantitative trait loci (QTL) mapping, population genetics, genetic diversity analysis, RNA-seq data analysis, gene expression studies, genotype-by-environment interaction analysis, and molecular breeding. I have worked extensively on identifying genetic mechanisms underlying crop responses to environmental stresses, including heat, drought, and cold stress, with a particular focus on rice improvement. I am proficient in experimental design, statistical analysis, data visualization, and interpretation of complex biological datasets. I have experience using a range of statistical and bioinformatics tools to analyze high-throughput genomic and phenotypic data and to translate results into actionable scientific insights. My work has also involved functional genomics approaches, including gene characterization, gene expression profiling, and the application of modern breeding techniques for crop improvement. In addition to research, I provide consulting services in biostatistics, data analysis, bioinformatics, scientific writing, manuscript preparation, research proposal development, and peer review. I have successfully supported researchers, graduate students, academic institutions, NGOs, and private-sector organizations in designing experiments, analyzing data, interpreting results, and preparing high-quality scientific publications and technical reports. My goal is to help clients achieve reliable, reproducible, and impactful research outcomes through rigorous data analysis, sound experimental design, and high-quality scientific communication.

Subject Matter Expertise

• ☆ Botany
• ☆ Plant Breeding & Genetics
• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Genetics
• ☆ Omics
• ☆ Genomics
• ☆ Epigenetics
• ☆ Data Analysis
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Comparative Analysis
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ R
• ☆ Technical & Scientific Writing
• ☆ Experimental Protocols

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Technical Writing

Research Meta-Research, Scientific and Technical Research, Systematic Literature Review

Data & AI Statistical Analysis, Image Processing, Image Analysis, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Product Development Concept Development, Prototyping

Work Experience

Adjunct Lecturer

Lilongwe University of Agriculture and Natural Resources

January 2026 - Present

Education

PhD (Crop Genetics and Breeding)

Jiangxi Agricultural University - China

January 2023 - December 2025

MS Horticulture and Agronomy

Lilongwe University of Agriculture and Natural Resources

January 2018 - September 2022

BSc (Horticulture)

Lilongwe University of Agriculture and Natural Resources

January 2012 - August 2016

Certifications

• Data Analysis Training

  NEPAD REGIONAL FISH NODE

  April 2016 - Present

Publications

JOURNAL ARTICLE

Mvuyeni Nyasulu, Caijing Li, Changsheng Lu, Mengmeng Yang, Guangliang Wu, Haohua He, Xiaopeng He, Jianmin Bian (2024). Uncovering Novel QTLs and Candidate Genes for Salt Tolerance at the Bud Burst Stage in Rice through Genome-Wide Association Study . Plants.

Mvuyeni Nyasulu, Abel Sefasi, Sibongile Chimzinga, Moses Maliro (2021). Agromophological Characterisation of Amaranth Accessions from Malawi . American Journal of Plant Sciences.