A passionate and a versatile researcher with extensive experience in bioinformatics and RNA structure coupled with substantial experience in wet lab research, showcasing 8 publications in high impact journals. Cross func…
A passionate and a versatile researcher with extensive experience in bioinformatics and RNA structure coupled with substantial experience in wet lab research, showcasing 8 publications in high impact journals. Cross functional collaborator; Proficient in Python and R as denoted by successful completion of 11 real-world machine learning projects with one MD simulation work published in Nature Communications. Strong oral and written communication skills with expertise in writing/editing grant proposals, research manuscripts, and fellowship applications.
Leading the development of deep learning transformer model to predict optimal chemical pathway for retrosynthesis of small molecules in drug development
Analysed “TOGETHER” Clinical Trial data with Bayesian statistics, successfully evaluating multiple repurposed drugs for Covid-19, yielding 3 publications
Developed R Shiny web application for interactive data visualization and generation of automated Statistical Analysis Plan (SAP) as per the FDA submission standard
Reviewed and prepared research manuscripts
Collaborated with internal and external teams to ensure successful project completion
Optimized single-cell gDNA NGS library prep and wrote master bash scripts, streamlining procedures such as 'biotinylated gDNA enrichment' in nanolitre volume
Developed antibody based assays for specific ChIP-seq application and performed MD simulations to predict protein/mRNA 3D-fold stability using GROMACS
Developed a bioinformatics pipeline to mitigate the problem of index hopping in directional DNA sequencing library preparation
Designed and executed experiments independently
Focussed on culturing mouse ES cell lines to pioneer a new approach to map DNA replication origins in single-cells
Engineered an aptamer-based DNA sensor for heavy metal detection in body fluids
Involved in lab management: prepared lab budget/SOP and trained junior scientists
Wrote python script, automating large-scale cognitive experiments to efficiently understand human mental behaviour across demographics (race, sex and age)
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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