Muhammad's passion for genetics and mental health research stems from both his personal experiences and his dedication to understanding the complexities of neurodiversity. Motivated by a deep curiosity about the interplay between genetics, cognition, and mental health, Muhammad has pursued an academic journey that bridges science and advocacy. He earned a degree in Computational Biology and Genomics from the University of Science and Technology, Zewail City, Egypt, and is now a PhD student conducting interdisciplinary research in the Michaelson Lab.

Muhammad's work focuses on the intersections of autism, twice exceptionality, and mental health. Leveraging his expertise in computational tools, he integrates diverse datasets, including genetic, clinical, neuroimaging, audio, interview, and facial imagery, to uncover hidden patterns that can inform both scientific discovery and practical interventions. His research emphasizes the use of language as a powerful metric to explore cognitive functions and mental health challenges, aiming to create tools that are both innovative and accessible.

Driven by his commitment to fostering an inclusive world, Muhammad strives to ensure that the voices of neurodiverse individuals are recognized and valued. His ultimate goal is to contribute to a deeper understanding of autism and twice exceptionality, empowering individuals like himself to thrive in a society that celebrates diversity and embraces the unique strengths of every individual.

Publications

Bahl, E., Chatterjee, S., Mukherjee, U. et al. Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data. Nat Commun 15, 779 (2024). https://doi.org/10.1038/s41467-023-44503-5