Current Research Projects

GitHub in AI-Driven Drug Discovery

This project explores the role of collaborative softwa...

This project explores the role of collaborative software platforms in modern science through an analysis of GitHub's application in AI-driven drug discovery. It aims to understand the effects of open-source code sharing on research transparency and reproducibility, providing insights into best practices for computational research. The study uses a review of platform capabilities and community practices and contributes to broader discussions on accelerating scientific progress through open science and collaborative tool development.

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Automating Drug-Drug Interaction Prediction

This project explores the prediction of adverse drug-drug...

This project explores the prediction of drug-drug interactions through Automated Machine Learning (AutoML) frameworks. It aims to understand the effects of different molecular feature representations on predictive performance, providing insights into automating and improving pharmacovigilance.

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Large Language Models in Drug Delivery

This project explores the potential of Large Language Models (LLMs) to overcome...

This project explores the potential of Large Language Models (LLMs) to overcome formulation challenges through a comprehensive review of the current landscape. It aims to understand the effects of applying general-purpose AI models to specialized pharmaceutical problems, providing insights into accelerating the design of drug delivery systems. The study uses an evaluation of existing LLM-powered tools like ChemCrow and BioBERT and contributes to broader discussions on integrating artificial intelligence into experimental workflows and personalized medicine.

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