I am a master student in Human Computer Interaction at Carnegie Mellon University. Before this, I graduated in Computer Science and Mathematics from the Ecole Polytechnique, an engineering school located in Paris.
My interests lie in the intersection of artificial intelligence and human-computer interaction: how can we design better human interaction with intelligent systems, so they can in return evolve themselves more efficiently? Or if we were able to build agents that can develop its own original knowledge, how can we build relevant representations of this information for the human to interpret?
I would like to tackle these questions in a research-related environment that promotes the curiosity and emulation needed for their exploration. In such place, I would like to participate in the reflexion by sharing my ways of approaching problems:
Good ideas can be found in mathematics theorems, philosophy essays, startup concepts, typeface designs, grammar rules, video game interfaces, etc. I enjoy spotting these ideas, seeing their commonalities, and exploring their transposition in other fields.
Modelling methodically complex systems is a great way to reveal underlying patterns and explore new perspectives. I apply this principle by designing models that are as elegant and comprehensive as possible.
History, philosophy, and sociology explain the context for our cultural evolution. I highly value these fields, for they give meaning to our research, and help us foresee its potential consequences on our society.