As a security data scientist, hacker, researcher, and assistant professor, Christian Camilo Urcuqui López has been working in cybersecurity, data science, and e-health. He has worked for the software industry and his experiences include different projects from public and private institutions participating as a software engineer, researcher, director of IT, and nowadays as a data scientist. He is interested in malware (anomaly) detection, adversarial techniques, secure learning, privacy, threat hunting, responsible AI, and ethical hacking. He is the author of the book "Ciberseguridad: un enfoque desde la ciencia de datos", published by Editorial ICESI in 2018.






CvLAC

ORCID logo http://orcid.org/0000-0002-4627-1477



  • Data Scientist - Globant, Jun 2021 - Today

  • Teacher - ICESI University Icesi, Jul 2015 - Today

  • Director of IT - Quantil, August 2020 - Jun 2021

  • Senior Researcher - Quantil, Feb 2020 - August 2020

  • Cybersecurity Data Scientist - LUMU Tecnologies, August 2019 - Feb 2020

  • Research and Development Leader - ICESI University, Jan 2016 - Sept 2019

  • Assistant Researcher - ICESI University, Jan 2014 - Jan 2016

  • System Enginner Junior - Cafeto Software, Sept 2013 - Jan 2014

  • Software Developer Junior - Helppeople Software, Dec 1012 - Jun 2013

  • Academic Monitor, Researcher - ICESI University, Jul 2012 - Jul 2012

  • Academic Monitor, Desing in videogames - ICESI University, Jan 2011 - Jun 2011



  • Navarro, A., Sebastian, L., Urcuqui, C., Fuentes, M., & Gomez, J. (2014, June). Analisis y caracterizacion de frameworks para deteccion de aplicaciones maliciosas en android. In XIV Jornada Internacional de Seguridad Informatica ACIS 2014.

  • Londono, S., Urcuqui, C., Amaya, M. F., Gomez, J., & Cadavid, A. N. (2015). SafeCandy: System for security, analysis and validation in Android. Sistemas y Telematica, 13(35), 89-102.

  • Urcuqui, C., & Navarro, A. N. (2016, April). Machine learning classifiers for android malware analysis. In 2016 IEEE Colombian Conference on Communications and Computing (COLCOM) (pp. 1-6). IEEE.

  • Urcuqui, C., & Cadavid, A. N. (2016). Framework for malware analysis in Android. Sistemas & Telematica, 14(37), 45-56.

  • Urcuqui, C., Peña, M. G., Quintero, J. L. O., & Cadavid, A. N. (2017). Antidefacement. Sistemas & Telemática, 14(39), 9-27.

  • Urcuqui, C. & Navarro, A. Working together to control website defacement: lessons from Colombia. (2017). https://itu4u.wordpress.com/2017/03/23/working-together-to-control-website-defacement-lessons-from-colombia/

  • Mondragón, O., Arcos, A. F. M., Urcuqui, C., & Cadavid, A. N. (2017). Security control for website defacement. Sistemas & Telemática, 15(41), 45-55.

  • Urcuqui, C., Navarro, A., Osorio, J., & Garcıa, M. (2017). Machine Learning Classifiers to Detect Malicious Websites. CEUR Workshop Proceedings. Vol 1950, 14-17.


  • BarCamp Security 2017, Cali. (Presentation) link.

  • Spring School on Networks 2017. (Poster presentation) link.

  • Encuentro Regional De Ingenieros Industriales y Administradores - VII ERIIA. (Presentation) link.

  • Simposio de Maestria, 11 Congreso Colombiano de Computacion. (Presentation) link.

  • IEEE Colombian Conference on Communications and Computing (COLCOM). (Presentation).

  • Black Hat USA 2014. (Attendant).

  • XIV Jornada Internacional de Seguridad Informatica ACIS 2014. (Presentation).

  • Academic Mision Silicon Valley 2014. Google, Facebook, Twilio, Oracle, Zynga, Salesforce, Juniper

  • VII, IX Jornada de divulgacion de investigacion en Icesi 2014, 2016. (Presentation).

  • Icesi Interactiva 2014. (Presentation).

  • Icesi Interactiva 2011. (Presentation).
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