Dr. Melissa Reneaux is a computational neuroscientist working in the area of computational psychiatry. Her research work involves the construction of mathematical models to address the mechanistic underpinnings of the impairments observed in neuropsychiatric disorders like depression, schizophrenia and Parkinson’s disease. She completed her doctoral research in computational neuroscience at Jawaharlal Nehru University, Delhi, India in 2019. During her PhD, she used neural mass models to investigate the role of the neurotransmitter dopamine and its associated D1 receptors in working memory, a core mental faculty, impaired in schizophrenia.
She went on to do her postdoctoral research in the Clopath lab at the Department of Bioengineering, Imperial College London. Her research work involved building a data-constrained dynamical model of the histamine-serotonin interplay to gain causal insights into inflammation-induced depression. She also supervised a Master’s thesis on how reward and punishment shape hippocampal spatial navigation. This work was recently published in Cell Reports. Following her research at Imperial, she worked in the Pinotsis Lab at the City, University of London. Here, she developed a dynamic mean-field model to address how peripheral inflammation may lead to depression. At City, she also delivered a few lectures and seminars for the course ‘Development cognitive psychology' to final-year undergraduate students. Her research works are published in several good peer-reviewed journals. She has presented her work at several national and international conferences and has many awards to her credit.
Melissa has formal training in theoretical physics. She completed her undergraduate and post-graduate studies at St. Stephen’s College, Delhi University, India.