HELLO, I'M
BIOTECHNOLOGY & BIOINFORMATICS STUDENT
I’m a Biotechnology student at IIUI. I combine lab work with computer tools to study biology, analyze data, and explore solutions to real-world problems.
Jhelum, Punjab, Pakistan
I'm a BS Biotechnology student at the International Islamic University, Islamabad, driven by a desire to integrate computational tools with biological research. My focus sits where bioinformatics and computational genomics meet — using data to ask better biological questions.
Hands-on at NIGAB-NARC, PCSIR and NIH Pakistan: DNA extraction, gel electrophoresis, PCR and primer design, alongside Python and R for biological data.
Experience
Three placements across genomics, health sciences and multi-disciplinary lab work.
NIGAB — National Institute for Genomics & Advanced Biotechnology, NARC
National Institutes of Health (NIH), Pakistan
PCSIR — Pakistan Council of Scientific & Industrial Research
Skills
Skills across the wet lab and the terminal, grouped by area.
Projects
A look at the reports and studies completed so far.
Community-level survey assessing public knowledge and prevention practices around dengue fever.
Designed and distributed a structured questionnaire to evaluate awareness of dengue transmission, symptoms and prevention within the local community, then analyzed responses to identify knowledge gaps.
Literature-based study on the structure, mechanism and applications of the Cas12a nuclease in genome editing.
Reviewed how Cas12a's single RNA-guided nuclease mechanism differs from Cas9, its staggered-cut DNA repair implications, and its growing role in diagnostics and genome engineering.
Consolidated report covering the analytical and microbiology techniques practiced during the PCSIR rotation.
Documented titration procedures, NanoDrop quantification, media preparation and instrumentation basics across the 8-week, multi-lab PCSIR rotation.
Summary report of primer design and PCR-based genomics work carried out at NIGAB-NARC.
Detailed the primer design workflow for OsARF11 using Primer-BLAST, the PCR optimization steps taken, and gel electrophoresis results confirming amplification.
Exploring machine learning approaches applied to biological and genomic datasets.
Currently studying how classification and clustering methods can be applied to genomic and expression data as a foundation for future computational biology work.
Building fluency in R for statistical analysis and visualization of biological datasets.
Working through R fundamentals — data wrangling, statistical tests and plotting — with a focus on applying them to omics-style datasets.
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