projects

A growing collection of some of my research and coding projects.

research
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DNA Barcoding

DNA barcoding is a method of species identification using a short DNA segment from a specific gene. By comparing it with a reference library of DNA sequences, an organism can be identified to species, similar to how a barcode scanner identifies items in a store.
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Aedes aegypti Trangenics

Aedes aegypti spreads diseases like dengue and Zika. Genetically modified mosquitoes are designed to give more males than females, as only females spread diseases. This helps reduce the mosquito population and control diseases.
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LncRNAs in Arabidopsis

Long non-coding RNAs (lncRNAs) are RNA molecules that do not code for proteins but play crucial roles in regulating gene expression and various biological processes in plants, including Arabidopsis thaliana. In the context of pollination, they are involved in both compatible and incompatible responses.
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Drug Discovery

Computational drug discovery using machine learning involves predicting bioactivity and identifying drug candidates. I applied models like Random Forest and KNN to analyze CHEMBL data, predict Influenza A virus activity using SMILES, and calculate molecular descriptors.

coding
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Machine Learning

Sentiment analysis on Twitter uses machine learning and natural language processing (NLP) to analyze tweets and classify them as positive, negative, or neutral. By applying techniques like text preprocessing, tokenization, and feature extraction, machine learning models can detect the sentiment behind tweets.