Benjamin Berczi

Benjamin Berczi is a Machine Learning Scientist currently at Depop, with previous experience as a Research Fellow at AI Safety Camp, focusing on the interpretability of maze-solving transformers. Benjamin has also held a position as a Data Scientist at Faculty, where a recommender system was developed for the sales team, significantly increasing efficiency, and previously served as a Data Science Fellow, gaining expertise in various data science methodologies. Prior experience includes a Data Analyst Intern role at EV Technology Limited, where data from electric car charging stations was analyzed and presented, and a Summer Research Intern position at UCL Cosmoparticle Group, involving machine learning techniques for analyzing photometric redshift data. Benjamin holds a PhD in Quantum Black Holes from the University of Nottingham, an MSc in Theoretical and Mathematical Physics from Imperial College London, and a BSc in Physics from UCL.