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Cris Doloc
Lecturer Financial Mathematics at University of Chicago

Profile

Cris Doloc holds a PhD in Computational Physics and he has spent the last two decades in the field of Quantitative and Computational Finance working for several top-tier financial firms in Chicago. He is an accomplished technology leader who architected several firm-wide trading, valuation and risk systems. His expertise extends from Enterprise Software Architecture to Machine Learning and High Performance Computing. He is very passionate about the opportunities that recent developments in Cognitive Computing and Computational Intelligence could bring to the field of Quantitative and Computational Finance. Cris is currently teaching as a Lecturer at the University of Chicago in the Program of Financial Mathematics and in the program of Biomedical Informatics.

Cris Doloc's Network

Agenda Sessions

  • Applications of Computational Intelligence in Data-driven trading

    4:00pm
  • Applications of Computational Intelligence in Data-driven trading

    2:00pm
  • Machine Learning in practice

    9:10am