Aditi Palit

​​​Alma Mater: Indian Institute of Technology | Adobe

Expertise: Visual Computing, Federated Learning, Machine Learning, AI, Diffusion models

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

Nwanacho Nwana

​​​Alma Mater: Massa

Expertise: Visual Computing, Federated Learning, Machine Learning, AI, Diffusion models

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Nwanacho Nwana is an educator, researcher, and writer who currently teaches mathematics at the District of Columbia International School (DCI). He is deeply passionate about leveraging data and AI to address educational challenges, particularly in public speaking anxiety and learning equity. As co-founder and Head of Product at Valfee, he has built an app-based platform that uses AI to help students and young entrepreneurs improve through mentorship, deliberate practice, and observational learning. He is a strong advocate for neurodivergent and underrepresented students and integrates his scholarly approach with social impact

Pradhyumna Wagle

Alma Mater: Cornell University | Cornell Health Policy Center

Expertise: Data Science, Healthcare,  Public Policy

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​Pradhyumna has completed his Master's in Applied Economics at Cornell University.

Previously, he was a student at Howard University, where he completed his Bachelor's degree in Economics with Summa Cum Laude honours from Rampo College in New Jersey.

Balbeer Singh

Alma Mater: Indian Institute of Technology 

Expertise: String Theory, black hole physics, Physics in computing

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Balbeer is currently pursuing a PhD in Physics at the Indian Institute of Technology, Kharagpur. He 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.

Ishan Mishra

Alma Mater: Indian Institute of Technology

Expertise: Machine Learning, Transfer Learning

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Ishan 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.