Arsen Yeghiazaryan is an experienced scientific researcher with a demonstrated history of working in the fields of Machine Learning and Theoretical Physics. He is skilled in Math, Statistics, Machine Learning theory, Quantum Field Theory, Python, Programming. Arsen received his Ph.D. in Theoretical and Mathematical Physics, Yerevan Physics Institute.
Currently he works as a Machine Learning Specialist at Webb Fontaine.
Fields of interest – Deep Learning, Recommendation Systems, Clustering, Tree-based algorithms