I am an undergraduate biochemistry student driven by a deep curiosity about how molecular systems work and how modern computational tools can help us understand them. Beyond traditional coursework, I proactively teach myself programming, sequence analysis workflows, and structural visualization to bridge biological science with technology.
Whether it's building computational scripts, exploring evolutionary trees, or breaking down complex scientific concepts for broader audiences, I am always seeking new projects to expand my skillset and contribute to the broader scientific community.
Self-learning Python, Biopython, and scripting to automate biological sequence processing.
Practicing sequence alignments, active site mapping, and structural modeling using BLAST, Clustal & ChimeraX.
Translating complex biochemistry and biotech topics into accessible digital educational content.
Selected work in computational biology, sequence alignment, and structural analysis.
A Python script designed to compute nucleotide distribution percentages (GC and AT/AU ratios) across biological sequences for GC-content profiling and thermal stability analysis.
Comparative sequence alignment and structural mapping of heme catalytic residues across homologous catalase enzymes to evaluate key active site conservation.
Constructing evolutionary trees from multiple sequence alignments using Neighbor-Joining methods to analyze phylogenetic relationships across biological taxa.
Long-form writing, research explainers, and scientific essays.
A scientific publication exploring molecular mechanisms, biochemistry insights, and emerging biotechnology trends in clear, accessible essays.