Graham Ganssle, PhD. Dr. G is a specialist in the field of deep learning. His education focused on digital signal processing and optimisation of recursively dependent nonlinear physical systems. His expertise is currently focused on autonomous generative systems and modern methodologies for time series analysis and forecasting. Graham and his team architect and build machine learning systems to leverage the huge amount of data collected in many domains, including the trading business.
Talks I've Given
Trading Alternative Assets using Connected Data
Featuring Chris LaCava and Graham Ganssle
Trading alternative assets is complicated business. In contrast to equities trading, there is a lengthy and multi-tiered compliance workflow to ensure clearance of trades. The iteration between "what-if" trade scenarios and compliance scoring is one of connected data, as a trader's...data graph knowledge-networks linked-data connected-data