Shreyasvi Natraj

Shreyasvi Natraj is a dedicated scientific researcher with a diverse academic background and extensive experience in the field of neuroscience, artificial intelligence, and biotechnology. Previously working as a Scientific Assistant at ETH Zürich, Shreyasvi's focus was on developing advanced neural networks for analysing mitochondrial dynamics in neuronal cells and conducting data analyses in the realm of transcriptomics and protein interactions. With a Master's degree in Neuroscience from the University of Geneva, where he graduated with distinction, Shreyasvi has contributed to several groundbreaking projects and research publications.

As a part of his Master's thesis, he worked as a Research Assistant at the National Centre for Competence in Research Synapsy, where he developed neural networks for screening for autism spectrum disorder and contributed to the development of digital phenotyping of the neurodevelopment disorder. His technical prowess also extends to his time as a Technical Student at CERN, where he contributed to a distributed computing framework for high-energy physics workload processing.

Shreyasvi's research experience is complemented by his contributions to various summer internships and projects, including work at the MIT Media Lab, where he developed an electrostatic system for pollution control and an innovative smartphone attachment for corneal topography. His academic journey began with a Bachelor's degree in Biotechnology from R.V. College of Engineering, India, where he was awarded Best Outgoing Student.

In addition to his technical expertise, Shreyasvi has been recognized for his achievements, winning several prestigious awards, including the Indian Defence Research & Development Organisation's National competition in 2024 and being the top 10 EMEA finalist teams in the Microsoft Imagine Cup.

Shreyasvi started his PhD position at SCAI lab in August 2024 and is currently working on data-driven biomechanical analysis of gait and pose of patients having neurodegenerative diseases and spinal cord injuries. He has a profound interest in the intersection of neuroscience, artificial intelligence, and bioengineering. He is particularly passionate about exploring how interdisciplinary approaches could be taken to address complex challenges. His curiosity drives him to constantly learn and experiment with different methodologies.