About MuhammadLab
A research and teaching lab led by Muhammad Muneeb.
MuhammadLab brings together computational biology, genomics, polygenic risk scores, AI, machine learning, bioinformatics, digital forensics, and visual teaching resources.
Lab focus
Research translation
Lecture support
Interactive learning
Genomics and PRS
Research around polygenic risk scores, genotype-phenotype prediction, and genetic data analysis.
Computational biology
PhD research focused on computational approaches for genotype-phenotype association.
AI and machine learning
Applied ML and deep learning for healthcare, genetics, bioinformatics, and biomedical text.
Teaching resources
Lecture material, visual explanations, and guides designed for students to revisit after class.
Profile
Researcher, educator, and scientific software builder.
Muhammad's work focuses on polygenic risk scores, genomics, genetic data analysis, Python and R for scientific research, and machine learning in healthcare and genetics.
View PRSToolsCurrent work
PhD candidate in Computational Biology at The University of Queensland.
Lecturer at Kaplan Business School across programming, cyber security, networks, machine learning, and IT subjects.
Research experience at Khalifa University in genotype-phenotype prediction, PRS, and machine learning applications.
Builder of PRSTools for polygenic risk score calculation, comparison, and genomic research workflows.