​Pradhyumna completed his masters in applied Economics at Cornell University.  He was previously a student at Howard University where he completed his Bachelors degree in Economics with a Summa Cum Laude honours from Rampo College in New Jersey.

Aditi Palit is a fourth-year PhD candidate in Computer Science at IIT Tirupati, specializing in federated learning, privacy-preserving algorithms, and decentralized data processing. She has research experience with Adobe and Ericsson, focusing on diffusion models, synthetic data strategies, and federated learning optimization.

Currently pursuing a PhD in Physics at the Indian Institute of Technology, Kharagpur, Balbeer Singh brings a strong interdisciplinary foundation in both mathematics and physics. His research focuses on theoretical physics, with particular interest in string theory and black hole physics—areas that challenge the frontiers of scientific understanding.

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Ishan Mishra is a PhD scholar in Computer Science at IIT Jodhpur, specializing in AI and machine learning, with recent experience as a Research Support Specialist at the University at Buffalo. His work spans deep learning, federated learning, and out-of-distribution detection, with multiple publications in these areas.