I’m an experienced computational researcher with over 4 years of
expertise in developing software and analyzing genomic data.
My work spans diverse areas, including next-generation sequencing (NGS),
single-cell data, and genetic variation analysis.
At the Salk Institute, I contributed to advancing computational tools
and techniques to support cutting-edge genomic research.
I specialize in leveraging computational methods to uncover meaningful
insights from complex datasets, aiming to bridge the gap between biological
research and data-driven solutions. With a strong foundation in bioinformatics,
I’m passionate about applying innovative approaches to solve
challenging problems in genomics and beyond.
I’m always excited to explore new opportunities to contribute to impactful research
and push the boundaries of what’s possible in computational biology.