Danial Dervovic
Scholar

Danial Dervovic

Google Scholar ID: ttWrIOcAAAAJ
JP Morgan AI Research; University College London
Explainable AISequential Decision MakingGraph TheoryMulti-Agent Systems and GamesQuantum Computation
Citations & Impact
All-time
Citations
841
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Please take a look at the Papers section of this site and his Google Scholar page if you’re interested in publicly available research he has done.
Research Experience
  • Worked part-time as a Machine Learning Engineer at Curvestone; interned with the Data Science team at Tesco working on Operations Research.
Education
  • Earned a PhD from the UCL Department of Computer Science, supervised by Prof Simone Severini, embedded in the CS Quantum group. Was part of the second cohort of the EPSRC Centre for Doctoral Training in Delivering Quantum Technologies.
Background
  • Works for the J.P. Morgan AI Research lab, focusing on a mix of research questions and concrete applications of AI in Finance. Broadly interested in Explainable AI, Sequential Decision Making, Optimisation (discrete and continuous), Multi-agent systems and games, Graph Theory, Quantum Computation.
Miscellany
  • The Blog has some fun articles, most of which were written in 2018. Maybe one day he’ll have time to write some more!