After spending twelve years at Goldman Sachs developing systematic trading strategies, Cordelia joined plorinavethq in early 2023 to lead our portfolio analysis initiatives. Her background in derivatives pricing and risk management brings a practical edge to our machine learning applications. She holds a PhD in Financial Mathematics from Cambridge and has published extensively on correlation modeling in volatile markets.

Before founding the research arm at plorinavethq, Thaddeus spent eight years at DeepMind working on financial applications of neural networks. His doctorate from Imperial College focused on unsupervised learning techniques for financial time series. What sets him apart is his ability to bridge academic research with practical trading applications – something rare in quantitative finance.