Ekaterina Abramova

Ekaterina Abramova holds a PhD in Artificial Intelligence and Machine Learning from Imperial College London, an MSc in Financial Engineering from Birkbeck University of London, and a BSc in Chemistry with Forensic Analysis from Loughborough University. Her research specialises in the reinforcement learning branch of machine learning, with a particular focus on solving nonlinear optimal control problems. Additionally she is interested in python programming, algorithmic trading, statistics and the application of machine learning and econometric techniques to financial data analysis and forecasting. Her work has been included in various journals including Multidisciplinary Digital Publishing Institute (MDPI) Energies, European Workshop on Reinforcement Learning (EWRL) and Imperial College Computing Student Workshop (ICCSW).

Experience

• London Business School
  • Adjunct Assistant Professor Aug 2019 –
  • Adjunct Assistant Professor Apr 2018 –
  • Postdoctoral Researcher (Part-Time) Mar 2017 – Mar 2019
• Imperial College London
  • Graduate Teaching Assistant Nov 2010 – Sep 2018
  • PhD Researcher Nov 2010 – Jan 2016
• NYSE Euronext
  • Analyst, Market Services Dec 2007 – Mar 2010
• Marex Trading
  • Proprietary Futures Trader Aug 2005 – Aug 2007

Education

• Imperial College London Doctor of Philosophy (Ph.D.) Artificial Intelligence and Machine Learning 2010 – 2016
• Birkbeck, U. of London MSc Financial Engineering 2009 – 2010
• Birkbeck, U. of London GD Financial Engineering 2008 – 2009
• Loughborough University BSc Chemistry with Forensic Analysis 2001 – 2004