Sriram Bharadwaj is a PhD student in the Department of Informatics at King’s College London, working in the intersection of AI and finance. He is part of the UKRI CDT in Safe and Trusted AI, working on using machine learning and symbolic AI techniques to model the financial markets.

His research aims to develop a digital twin (realistic simulation platform) of the financial markets that can be used by participants to assess the impact of deploying AI systems into the markets and by financial regulators to define better market rules. He aims to use agent-based modelling, reinforcement learning and algorithmic game theory to simulate the financial markets and assess risk management strategies.

Before starting his PhD, Sriram spent nearly 8 years in industry working as a quantitative analyst with top investment banks in London, where he worked on automated pricing and trading algorithms for market making. He holds an MS in Data Science from the University of Texas at Austin, an MBA from the Indian Institute of Management Bangalore and a B-Tech in Electrical Engineering from the Indian Institute of Technology Bhubaneswar.

Research Groups

• Distributed AI
• Finance Hub
• Safe & Trusted AI CDT

Research Interests

• AI for Finance
• Agent Based Modeling
• Algorithmic Game Theory
• Reinforcement Learning

Thesis Title

Market Risk Management Using Incentive Aware Digital Twins

PhD Supervision

Primary: Professor Carmine Ventre

Secondary: Dr David Watson