What drives all of these interests is a singular vision: to make molecular insights predictive, personalized, and accessible. I seek to pursue a PhD where I can collaborate across disciplines—bioinformatics, structural biology, oncology, and systems medicine—to build computational tools grounded in biology and optimized for clinical utility.
Specifically, I am looking to join research groups that explore:
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miRNA-based regulatory networks in cancer and immunity,
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Multi-omics modeling for disease stratification, and
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Machine learning applications in RNA therapeutics.
A PhD will not only provide the research infrastructure and mentorship to pursue these goals but also enable me to contribute meaningfully to a field where non-coding RNAs, once considered "junk," are now seen as the key to future diagnostics and therapies.
In a world increasingly shaped by pandemics, personalized medicine, and digital health, the convergence of RNA biology and artificial intelligence offers unprecedented possibilities. By focusing on miRNA-centered diagnostics, multi-omics biomarker pipelines, and structure-aware predictive modeling, I hope to help transform how we understand, detect, and treat complex diseases. My research interests are thus not just scientific aspirations—they are a blueprint for diagnostic evolution, rooted in molecular understanding and driven by computational innovation.