
معرفی
Ilya E. Monosov is the Bloomberg Distinguished Professor of Neuroscience and The Mind/Brain Institute at Johns Hopkins University School of Medicine, with adjunct appointments in Biomedical Engineering and Psychiatry. He leads the Laboratory of Adaptive and Maladaptive Intelligence (LAMI), where his team investigates the neural-circuit and algorithmic foundations of cognition and intelligence, particularly how these systems break down in psychiatric disorders.
His research focuses on neural circuits, systems and computational neuroscience, and the neurobiology of disease. Using multidisciplinary approaches across animal and computational models, his work explores how the brain computes value, processes novelty, and drives curiosity and information-seeking behavior. His lab emphasizes translational insights that bridge basic neuroscience with human mental health and artificial intelligence.
Recent publications highlight a strong trend in understanding the neural basis of curiosity, novelty, and decision-making, particularly through high-impact work in Nature Neuroscience and Nature Reviews Neuroscience. His research integrates ethological, computational, and circuit-level methods to uncover conserved mechanisms across species, with implications for computational psychiatry and machine intelligence.
Scientific Awards:
- Bloomberg Distinguished Professor
Advising and Grants: Dr. Monosov mentors graduate students through the Neuroscience Training Program and the Mechanisms of Cognition program at Johns Hopkins. His research is supported by major institutional and likely federal funding, enabling a multidisciplinary team to pursue high-impact neuroscience. Though specific grants are not listed, his publication record and lab leadership suggest sustained research support.
Labs and Teams: He leads the Laboratory of Adaptive and Maladaptive Intelligence (LAMI), a dynamic research group that combines experimental neuroscience with computational modeling to study both healthy cognition and psychiatric disease mechanisms.




