• Computational Neuroscience
• Neural Networks
• Dendritic Computations
• Neural Data Analysis
• NeuroAI
• AI for Life Sciences
• Machine Learning
• Mental Health

Bhanu Priya Somashekar is a computational neuroscientist with a keen interest in applying tools from computer science and machine learning to understand complex biological systems, particularly the brain. Her research focusses on the computational roles of dendritic mechanisms and their influence on network-level dynamics. 

Bhanu completed her PhD from the National Centre for Biological Sciences (NCBS), where she worked with Dr. Upinder S Bhalla to understand how dendrites — the intricate branches of neurons — help process patterns of input and shape computation at the network level. She holds a dual degree: a BE in Computer Science and an Integrated MSc in Biological Sciences from BITS Pilani. Her interdisciplinary background underpins her approach to integrating machine learning and computational tools to address biological questions. 

Her current projects include: 

• Analysing neural activity data using advanced machine learning techniques to deepen our understanding of learning and memory in the brain.
• Exploring how dendrites and network motifs influence neural computation. 

In addition to her research, Bhanu is deeply committed to teaching and mentorship. She has served as a lead teaching assistant for NeuroAI and Computational Neuroscience courses at Neuromatch Academy and contributed to teaching at the Computational Approaches to Memory and Plasticity summer school at NCBS. 

She values fostering interdisciplinary thinking and supporting students in building intuition through hands-on exploration and conceptual clarity.