As an Assistant Professor, I integrate data science methodologies into biomedical research to generate insights that enhance diagnostic and therapeutic strategies. My expertise encompasses biochemistry, microbiology, immunology, molecular techniques such as PCR, and computational biology, with a particular focus on computer-aided drug design and the analysis of single nucleotide polymorphisms (SNPs) to elucidate their impact on protein function. Proficient in programming languages like R and skilled in Machine Learning, I leverage computational tools to address complex biological challenges. 

Recognizing students as key stakeholders in academia, I am deeply committed to teaching and fostering innovation through collaborative learning. By combining interdisciplinary knowledge with a passion for education, I strive to drive data-driven advancements in healthcare that are precise, impactful, and transformative.