Academic research

  • My research on the use of unstructured alternative data (specifically investor sentiment extracted from Telegram Messenger) to predict asset prices was presented at the 36th International Symposium on Computer Performance, Modeling, Measurements and Evaluation 2018 in Toulouse, France and the corresponding paper was published in ACM SIGMETRICS Performance Evaluation Review (Volume 46 Issue 3, December 2018)



Fabian presentation at iROS cropped

Venture Catalyst Challenge 2018 (VCC)

  • The VCC is Imperial College London’s premier startup accelerator
  • Successfully competed against 300 other teams to receive seed funding to develop an open source alternative data trading platform
  • More info here