People / Students / Section Name
People
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Daniel Plotkin is a passionate researcher and developer with a strong interest in the intersection of medicine and deep learning. He is particularly interested in the deep learning research and integration within the sub-fields of genomics, synthetic biology, sensor analytics, and precision therapeutics. With project and research experience including image-to-sequence generation, medical imaging, and natural language medical diagnosis classification, Daniel aims to utilize advanced machine learning to enhance computational biology and simulation analysis in medical research. Additionally, Daniel is dedicated to advancing reinforcement learning algorithms to optimize decision-making processes and fine-tune existing supervised learning architectures on non-differentiable functions. With a strong professional background in predictive analytics, deep learning, and LLMs, Daniel is committed to using AI to drive innovation in healthcare, research, and beyond.
