About Me
Advancing genomics and bioinformatics with rigorous, reproducible, and impactful science.
Editor's Choice-recognized genomics researcher, two years in a Row
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I am an independent, hypothesis‑driven genomic scientist who routinely leads projects from raw long‑ and short‑read data through assembly, QC, TE and structural analyses, annotation, statistics, and publication‑ready interpretation. My work demonstrates deep technical breadth across modern genome assembly and repeat analysis workflows, strong quantitative skills for designing and implementing custom statistical tests, and clear scientific communication—validated by multiple first‑author roles and Editor’s Choice recognitions in sex chromosome and genome evolution.
Recognized for innovative genomics research, rigorous analysis, and the ability to turn complex sequencing data into clear, actionable insights, I approach every project with intention and scientific precision. My work has earned Editor’s Choice recognition for two consecutive years for its balance of methodological creativity and practical impact in sex chromosome evolution and genome analysis.
Each project I take on reflects a deep understanding of genomic data, computational frameworks, and the clinicians and scientists who rely on these results to drive discovery and decision‑making.
Analysis Rooted in Purpose
I innovate and bring new possibilities to every genomics and precision‑medicine project.
For nearly a decade, I’ve dedicated my career to building analyses and pipelines that are as robust as they are interpretable. My scientific philosophy is grounded in the belief that every dataset should be translated into insights that reflect the real questions of the teams who generate it—whether they are researchers, clinicians, or biotech partners. This approach has allowed me to work across diverse genomic studies, from genome assemblies to variant and biomarker analyses, each with its own story to tell.
I'm Specialized in Genomics and Variant Analysis
My work blends research‑grade rigor with industry‑aware pragmatism, prioritizing data quality, reproducibility, and clear communication. From raw sequencing reads to variant calls, annotations, and reports, I consider how every step in the pipeline affects downstream decisions. The result is analysis that feels reliable, transparent, and ready to support real‑world applications.
Collaboration is at the heart of every project. I take the time to truly understand my collaborators’ goals and constraints, guiding them through complex genomic analyses with clarity and care. Together, we transform sequencing data into insights that inform discovery, support precision‑medicine efforts, and evolve as new questions and technologies emerge.