About

Vibhu Vardhan Singh is a highly skilled Project Associate at the Indian Institute of Technology, with expertise in Energy Materials, High Performance Scientific Computing, Molecular Design, and Machine Learning. He has a keen interest in Data-Driven Materials Design and is currently working on Molecular Designing of Next Generation Solid State Batteries with a focus on polymer electrolytes using High-Performance Computing and AI (Deep Neural Networks) as a member of CAMMD (Centre for Atomistic Modelling and Materials Design). His project is funded by the National Supercomputing Mission, an initiative taken by the Government of India. Vibhu has worked with several supercomputers, including Theta, Carbon (Argonne National Lab), SAHASRAT (Indian Institute of Science Bangalore), and Aqua (Indian Institute of Technology Madras). Before joining the Indian Institute of Technology, Vibhu worked as a Decision Analytics Associate at ZS Associates, where he was part of the Real World Data and Insights - Market Analysis Team. He worked with one of the biggest generic drug-producing pharmaceutical industries in the US on product launch, focusing on digitally connected devices and their KPI creation for business consulting on the basis of data-driven decisions. He analyzed different data sources, including App, pharmacies, sales force, and insurance, and gained skills in using data analysis tools such as Python, SQL, Excel, and PPT. Vibhu also worked as a Research and Development Intern at Tata Steel, where he gained valuable experience in the field. He holds a Bachelor of Technology degree in Metallurgical Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, and completed his schooling at Sir Padampat Singhania School. Vibhu is a skilled Research Scientist with expertise in ML, AI, SQL, Neural Networks, and Python. With 1.43 years of relevant experience, Vibhu is a highly motivated and innovative professional who is always eager to take on new challenges and develop his skills further.