My name is Gheorghe Comanici and I have recently finished work towards a PhD degree in Artificial Intelligence (AI) at McGill University. I am a proud citizen of Canada since 2006, but also fortunate to be raised in the midst of nature's beauty: Bistrita, Romania. I've lived there until 2002, when I was plunged in a culture amalgam called Montréal. For the last 8 years I have been part of the Reasoning and Learning Lab, a research group that works on applications and theory of machine learning techniques. For my post-graduate degree, I studied theoretical properties of mathematical frameworks for sequential decision-making. During the time spent completing my degree I was also actively involved in many teaching opportunities in the field of computer science. I have been a teaching assistant from 2008 to 2013 and part of the teaching staff at McGill for the last four years. I have devoted the time I spent at McGill University both for research and for teaching, which has always been something that I had great interest into. The School of Computer Science has been great environment for building my teaching skills, as I had the opportunity both to assist some great teachers in the department and to be in sole charge of preparing introductory courses in programming.
I believe that teaching at different educational levels is important for building better approaches when dealing with students. My personal experience from tutoring family members and friends are proof to that. Another example is my participation in assisting students with homework assignments, both in primary and secondary levels, at Tyndale St-Georges Community Centre. Moreover, I have worked with Kids Code Jeunesse, a non-profit organization for promotion of computing education throughout Canada, both as a volunteer teacher and as part of their Education Advisory Committee. During the same time, I have taken a number of courses in the Faculty of Education towards a degree in High-School instruction of mathematics. I have acquired a lot of interesting and useful ideas and practices which are necessary for teaching diverse groups of students and for the promotion of strong critical thinking skills.
My teaching duties at McGill University include:
My research interests revolve around Probabilistic Systems for Artificial Intelligence Systems; lately I have been mostly working on computational aspects of bisimulation metrics for state space abstraction for Markov Decision Process. I also find myself working on Hierarchical Reinforcement Learning, Temporal Abstraction, Spectral Learning and other Machine Learning topics. In my spare time I will be solving interesting problems on Data Structures, Statistics, Probability or Measure Theory. My ultimate goal is to contribute to the advancement of lifelong learning machines.