About me
Hello there and welcome to my humble abode! I'm a computational biology researcher born in Jaffna, Sri Lanka and from Pennsylvania, USA. I am interested in AI/ML, genomics, data analysis, optimization, automation, and (bio)tech, turning complex problems into simple, beautiful and intuitive solutions.
I graduated from the Princeton University Class of 2024 as a Molecular Biology major with minors in Computer Science and Neuroscience. I've always been drawn to and enjoyed working in the intersection of medicine, lab discovery, and computational innovation. I am skilled in Python (NumPy, Pandas, PyTorch, TensorFlow), Java, HTML, CSS, JS, C#/C++, R, and shell scripting. Over the years, I've built and developed several novel bioinformatics tools and contributed to open-source projects on GitHub.
My Goals: I am passionate about applying machine learning to accelerate genomics research. In Fall 2025, I plan to matriculate into medical school to translate these computational insights into better patient outcomes in and out of the clinic.
What I'm Doing
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Pediatric Oncology Research
Developing human cancer cell-line and exploring high-throughput DNA/RNA-seq data analysis pipelines.
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ML Model Development
Developing RNN/LSTM architectures for sequential biological data — leveraging PyTorch and TensorFlow.
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Bioinformatics Analysis
Expanding expertise in DNA and RNA sequencing workflows and related computational genomics tools.
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Thesis in Neuroscience
Investigated how upregulation of norepinephrine affects learning and autism-related behaviors in mice.