people
group members
Gautham Dathatreyan
Project Assistant
Gautham completed his Integrated Master’s in Physics from Amrita Vishwa Vidyapeetham, Coimbatore Campus. His passion for computational neuroscience and interdisciplinary research led him to pursue his master’s thesis at the Amrita Mind Brain Center. There, he worked on the automated reduction of complex, multicompartmental biophysical neuron models, including cerebellar neurons, into simpler spiking neuron models. This work aimed to optimize computational efficiency, enabling the simulation of large-scale neuronal networks for behavioural modelling and analysis.
At CHINTA, TCG CREST, Gautham is currently modelling neurons using MOOSE. His research focuses on understanding the brain’s information-processing mechanisms during navigation by leveraging computational tools and neuroscience principles.
Gautham is excited by the opportunity to engage in interdisciplinary research and enjoys learning about how things work across various fields while staying updated on developments in the tech and scientific industries. Outside of his academic and professional life, Gautham enjoys watching movies, using his free time to relax and unwind, and spending time with friends.
Ashish Anshuman
Software Engineer for MOOSE
Anshuman, Ashish completed his undergraduate degree in Information Technology from DIT University, Dehradun. He gained experience as a software engineer, working on web development and building scalable systems. He is passionate about exploring science, learning ways to integrate it with technology, and contributing to research. Outside of work, he enjoys staying active, playing tennis, and learning new things.
Deepa SM
User Experience Researcher for MOOSE
Deepa SM is a researcher in Management Sciences, specializing in Organizational Behavior, with a higher research degree from Anna University. With a background in both qualitative and quantitative research, she has led studies that align with product objectives and providing data-driven insights to inform strategic decisions and product development. Currently, she is involved in the MOOSE project, where she focuses on understanding user needs, pain points, and behaviors in the context of computational neuroscience, using her insights to inform and optimize user-centered design strategies. She enjoys the challenge of understanding complex systems and utilizing research findings to enhance user experiences and address pain points effectively. Moreover, she is driven by the desire to apply theoretical frameworks in practical settings, using it to approach problems from different perspectives and develop effective solutions for user-focused products.
Jayesh Poojari
Software Engineer for MOOSE
I am a dedicated software engineer with a strong focus on DevOps, currently working on the MOOSE project. My role involves streamlining development workflows, enhancing build management, containerising applications. With expertise in multi cloud platforms AWS,Azure,GCP), CI/CD pipelines, and automation tools, I strive to deliver scalable and efficient solutions. Passionate about innovation and problem-solving, I continuously seek opportunities to enhance system performance and ensure seamless deployment processes. I am committed to staying updated with the latest technologies to contribute effectively to my team’s success and drive impactful results in the ever-evolving field of technology.
With a strong passion for the intersection of neuroscience and computer science. I am fascinated by how technology can help unravel the complexities of the human brain and contribute to advancements in areas like brain-computer interfaces and cognitive research. The idea of bridging science and technology, where neuroscience meets computer science and artificial intelligence, excites me.
Parita Mehta
Community Manager for MOOSE
Parita Mehta, is a doctoral researcher at Warsaw Astronomical Observatory in Poland, she is currently in the final stretch of her Ph.D. in the field of Astrophysics. She is a member of the Scientific organizing committee for the Early Career Astronomers at the European Astronomical Society (EAS) annual meetings, fostering dialogue and engagement on different aspects of academia.
Outside the academic realm, she is equally passionate about community and cultural integration across both India and Poland, which keeps her inspired and grounded. In her free time, she enjoys photography and creative writing.
At CHINTA, she is the community manager for the “Enhancing Interoperability, UI, and Documentation of MOOSE” project in the field of systems biology and neuroscience.
Subhasis Ray
Principal Investigator
I work as an associate professor at TCG CREST, Kolkata, India. My undergraduate training was in Computer Science and Engineering, and later I moved on to study Computational Neuroscience at the National Centre for Biological Sciences (NCBS), TIFR, Bangalore, for my PhD. There I worked on computational modeling of biological neural networks, developing a simulator for biology research, and developing data and model description formats.
I did my postdoctoral research at the National Institutes of Health (NIH), Bethesda. I learnt electrophysiology, microscopy, and other techniques and carried out animal experiments to study the sense of smell. I combined computational modeling with experiments to answer fundamental questions in neural information processing.
I am primarily interested in biological intelligence, though I utilize artificial intelligence as a useful tool. I also develop software to facilitate research.