Bio
My current research revolves around deep representation learning, specifically in the realm of graph neural networks and their applications in human biology, drug discovery, and healthcare. I have a keen interest in the intersection of machine learning and neuroscience, particularly in understanding the parallels between natural neurons in the brain and their artificial counterparts. Additionally, I'm exploring foundational models, with a particular emphasis on fine-tuning large language models for downstream tasks like code generation. In my free time, I'm passionate about contributing to open-source projects and machine learning for societal good. If you have an exciting project or are seeking collaboration, please don't hesitate to reach out. I'm always eager to learn and help, and I appreciate opportunities to collaborate on novel ideas.