About
A Journey Through Biology, Code, and Curiosity.
The story behind the research,
the software,
and the photographs.

Where it all began
I began studying biology because I was fascinated by life.
What I didn't expect was that the deeper I looked, the more I realized that biology had become a computational science.
I became interested in how data could reveal patterns invisible to the naked eye, and how computation could help us ask questions experiments alone could not.
That curiosity brought me here.

From lab to code
- 2018BiologyCuriosity about life
- 2020ResearchFirst steps in the laboratory
- 2022BioinformaticsDiscovering the power of data and computation
- 2025EngineerBuilding tools to support scientific discovery
- FutureGraduate StudyContinuing the journey and contributing to science
The path hasn't always been linear.
But every step, every challenge, and every failure
has shaped the way I think and build today.
Research philosophy
“Research is not simply about finding answers.
It is about asking better questions.”
- Curiosity
- Reproducibility
- Open Science
- Real-world Impact
Four pillars
- ResearchUnderstanding biological systems through data and computation.
- EngineeringBuilding computational tools that empower science.
- WritingSharing scientific ideas through essays, tutorials, and notes.
- The Scientist's EyesObserving the world beyond the laboratory.
Beyond the lab
Photography
I enjoy capturing landscapes and moments of nature. It's my way of slowing down and seeing the world with curiosity.
Books
Most of my weekends are spent with a book. They shape how I think and continually inspire me.
Coffee
The best ideas often come with a cup of coffee and a quiet space to think without distraction.
Open Source
I believe knowledge grows when it is shared. Open source is my small contribution to a bigger community.
Now
- Currently ReadingBrain Resetby David Gillespie
- BuildingPrimerLab v2PCR & qPCR primer design toolkit
- ResearchingInfluenza DiagnosticsPrimer design for RAA
- LearningWorkflow AutomationNextflow, Snakemake, Docker

Looking ahead
I hope to contribute
to a future where
computational biology
becomes more accessible,
more reproducible,
and more collaborative.
There is still so much to learn, build, and share. And I'm just getting started.


