Welcome to the official web page of My SGH Courses.
I am a theoretical physicist and Assistant Professor at the Warsaw School of Economics (SGH), where I lead research at the intersection of complex networks and modern data science.
My journey started with graph theory, where I specialized in finding hidden patterns and community structures in complex data. This led me to the world of Machine Learning and Deep Learning, where I developed high-performance models for business applications. Until recently, I also worked as an MLOps professional, ensuring that complex algorithms run reliably and scale efficiently in the cloud.
Currently, I have transitioned into the role of a Quantum Machine Learning Engineer. My focus has shifted toward the future of computation: Quantum Information Field Theory. In simple terms, I am developing a new kind of statistics based on non-commutative operators—where the order of observations changes the outcome.
I’m passionate about translating these “abstract” physics concepts into powerful tools for data-driven decisions. Whether in the classroom or the lab, my goal is to push the boundaries of what’s possible at the frontier of physics and AI.
Analiza danych w czasie rzeczywistym
Wprowadzenie do kwantowego uczenia maszynowego
Projektowanie aplikacji internetowych i korporacyjnych
Projektowanie relacyjnych baz danych
Relacyjne systemy organizacji danych
Analiza danych w czasie rzeczywistym
SGH Warsaw School of Economics Collegium of Economic Analysis al. Niepodległości 162 02-554 Warsaw, Poland
sebastian.zajac [at] sgh.waw.pl