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Carlos Gershenson

Visiting Research Professor


Office Location

177 Huntington Ave
10th Floor - 1014 B
Boston, MA 02115

Mailing Address

Northeastern University
ATTN: Carlos Gershenson, 1010-177
360 Huntington Avenue
Boston, MA 02115


  • PhD in Sciences, Vrije Uniersiteit Brussel
  • MSc in Evolutionary and Adaptive Systems, Sussex University
  • BEng in Computing Engineering, Fundación Arturo Rosenblueth


Carlos Gershenson is a tenured, full time research professor at the computer science department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas at the Universidad Nacional Autónoma de México (UNAM), where he leads the Self-organizing Systems Lab. He is also an affiliated researcher and a member of the directive council at the Center for Complexity Sciences at UNAM. Currently, he is a visiting professor at the Massachusetts Institute of Technology and at Northeastern University.

Gershenson has more than a hundred scientific publications in books, journals, and conference proceedings, which have been cited more than two thousand times. He has given more than a hundred and fifty presentations at conferences and research group seminars. He has a wide variety of academic interests, including complex systems, self-organization, urbanism, artificial life, evolution, cognition, artificial societies, and philosophy.

About me

  • Hometown: Mexico City, Mexico

Field of research/teaching

  • Computer Science

What are the specifics of your educational background?

I studied Computer Engineering and Philosophy in Mexico, while also taking courses in Physics. Subsequently, I earned a MSc in Evolutionary and Adaptive Systems from Sussex University. My PhD at the Vrije Universiteit Brussel allowed me to develop a methodology to design and control self-organizing systems.

What are your research interests?

I am passionate about understanding complex systems: phenomena where components have relevant interactions. Complexity demands descriptions at multiple scales from multiple perspectives. This is why I combine science, engineering, philosophy and art to understand, build, think about, and create complex systems.