"The future belongs to those who learn more skills and combine them in creative ways." - Robert Greene
A computational biologist specialising in machine learning applications and large-scale biological data analysis. Currently completing my PhD at La Trobe University in collaboration with Agriculture Victoria Research, I develop innovative computational methods to analyse complex biological datasets and extract meaningful insights from multi-omics data.
With over a decade of experience spanning research and industry, I've successfully developed seven patented varieties and led multidisciplinary teams. My work has earned international recognition, including a product selected as Japan's Flower of the Year 2017, demonstrating my ability to translate complex research into practical solutions.
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tech_stack = {
'languages': ['Python', 'R', 'LaTeX'],
'ml_tools': ['scikit-learn', 'TensorFlow', 'PyTorch', 'keras'],
'data_analysis': ['pandas', 'numpy', 'tidyverse', 'dplyr'],
'visualisation': ['matplotlib', 'seaborn', 'ggplot2', 'plotly'],
'bioinformatics': ['custom pipelines', 'metabolomics analysis', 'image processing'],
'dev_tools': ['git', 'jupyter', 'RStudio']
}
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contact_info = {
'email': '[email protected]',
'linkedin': 'mirzashoaib',
'google_scholar': '5-XS82MAAAAJ'
}