Alumni
Daniel Abib
Daniel Abib was a postdoctoral fellow at the department of Statistics and Actuarial Sciences of the University of Western Ontario.
He works in Spatial Econometrics, Networks and Machine Learning applied to Economics and Finance. His work is to be published in the Journal of Monetary Economics, and has been presented at the FED System, The Swiss National Bank, The NBER Summer Institute, The Study Center Gerzensee, The Central Bank of Brazil among others.
Previously, he obtained a PhD in Economics from the Fundação Getúlio Vargas (FGV) in Rio de Janeiro, working in Macroeconometrics applied to Big Data and worked as a researcher at the Brazilian Institute of Economics (IBRE-FGV).
Kamesh Korangi
Kamesh is a Ph.D. graduate at the University of Southampton, UK. His research at the lab focused on developing innovative methods for risk management of firms under market complexity and illiquidity. His research interests are in applying deep learning for finance such credit risk management, portfolio optimisation and systemic risk.
He earlier worked as a credit derivative and bond trader at NatWest Markets, managing credit risk from most liquid derivatives to distressed companies. Knowing these financial markets and the flow of capital, he is passionate about making financial markets more accessible and equitable to firms and investors with technologies that scale up to the whole market.
Kamesh holds an undergraduate degree in Computer Science and Engineering from IIT Madras and an MBA in Finance & Economics from IIM Calcutta. He also worked in startups, devising security algorithms for telecoms. He spends his weekends playing cricket and spending time with his kids.
Current position: Managing Director, Head of Portfolio Strategy, Anthropocene Fixed Income Institute. United Kingdom.
Matt Stevenson
Matt Stevenson’s research centred on Deep Learning applications and decision support systems, specifically with the use of novel data types, including natural language, images, and multi-dimensional time-series data. Alongside his Ph.D., Matt also holds a Master’s degree in Business Analytics & Management Science from the University of Southampton.
His doctoral research delved into the development of advanced analytics and AI to enhance the competitiveness and accessibility to funding for Small and Medium Enterprises (SMEs). Currently, holds the role of Senior Data Scientist at Ki, Lloyd’s of London’s first fully digital and algorithmically-driven syndicate. Here, his primary responsibility involves leveraging data science to improve the accuracy of the insurance underwriting process and optimise risk management strategies.
Current Position: Senior Data Scientist. KI Insurance. United Kingdom.
