Victor - UCL
PhD/MSc Experimental Psychology - University College London | MSc in Organisational and Social Psychology - London School of Economics | MSc in Business Administration and Management - IÉSEG School of Management
After an original MSc in economics and management in Paris from Iéseg (Grande Ecole), through which I worked in a wide range of activities across the private sector (financial auditing at Deloitte, Recruitment at Morgan McKinley), I decided to further my education in the UK through the Organisational and Social Psychology MSc at LSE. I then worked as a strategy consultant in France for a year at Scenent, a small consultancy practice led by an ex-partner from Accenture Strategy, where I advised start-ups and multinational companies.
Wanting to fully convert to research, I came back to the UK in 2019 to undertake the Psychological Sciences MSc at UCL. I was offered a 4-year scholarship for a Ph.D. in the department of experimental psychology in causal cognition. My research is heavily computational and attempts to understand the algorithms that the human brain uses to solve causal problems or learn about causal structures. To do so, I make extensive use of machine learning (probabilistic unsupervised learning, reinforcement learning). My research is funded by the department through teaching statistics and research methods to MSc students.
My experience teaching comes from my position as a statistics demonstrator. I do three main activities.
First, I run statistics lectures for students that come from non-quantitative backgrounds to help them get from no mathematical background to a solid conceptual and practical understanding of a psychologist's basic toolkit. I design the curriculum myself. Second, I teach on a module called Empirical Projects which aims to bridge the gap between statistics and practical research. This module provides students with knowledge on how to formulate a meaningful research question into a mathematical form, allowing it to be answered using statistics. I supervise a section of this module that focuses on online data collection: building an online experiment, collecting data, cleaning it, and then perform a small statistical analysis of its results.
Third and most relevant, I run weekly individual office hours with MSc students. My goal here is to provide guidance and technical help with their assignments but mostly their final dissertation, focusing again on methods, e.g. which statistical tool to use to answer a question, how to use Python or R to perform the appropriate analysis, etc.
If you have any questions about my experience, please feel free to contact me at support@doxa.co.uk
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