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Nadav Brandes' research focuses on harnessing the power of Artificial Intelligence (AI) to understand the human genome and address critical challenges in disease prediction and treatment. He has developed and applied Large Language Models (LLMs) to biological sequences, with a focus on proteins. His deep-learning models help identify disease-causing mutations and optimize genomic sequences for therapeutic applications. His lab is particularly interested in integrating variant effect predictions with statistical genetics to advance the understanding of rare variants, pushing the boundaries of AI to predict genetic effects in non-coding regions. Through high-dimensional approaches, he aims to disentangle the specific cellular effects of mutations.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.