Prodipto Ghosh

Prodipto is responsible for AI and automation at Stanley Labs. He led the analysis of optimal mathematical solutions for the world’s fastest supercomputers and several pioneering enterprise solutions based on and inspired by Quantum Computing and Mathematics as the lead AI scientist at McKinsey.

He led mathematical assessments of several target AI / machine-learning firms for investments worth $0.25bn+ including a strategic initiative at a top three UK bank.

Prodipto conceptualised and built a range of natural language processing (NLP)-based engines for financial services, including concepts discovery, impact & graphs-ts modelling, plus a customer ‘latent-aspects’ engine (for granular breakdown of equity-sentiment)

Prodipto holds a B.Tech from the Indian Institute of Technology Kanpur, an MBA with a focus on quantitative methods from IIM Bangalore and a masters in Quantitative Finance from the London Business School.