Nadav Brandes, PhD

My research focuses on harnessing the power of Artificial Intelligence (AI) to understand the human genome and address critical challenges in disease prediction and treatment. I have developed and applied Large Language Models (LLMs) to biological sequences, with a focus on proteins. These deep-learning models help identify disease-causing mutations and can optimize genomic sequences for therapeutic applications. My lab is particularly interested in integrating variant effect predictions into statistical genetics to advance our understanding of rare variants, and pushing the boundaries of AI to predict genetic effects in non-coding regions. Through high-dimensional approaches, we aim to disentangle the specific cellular effects of mutations.