SGH Courses

Welcome to Sebastian Zajac Courses Pages!

Welcome to the official web page of My SGH Courses.

About me

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.

Courses

Warsaw School of Economics

Analiza danych w czasie rzeczywistym

Real Time Analytics

Wprowadzenie do kwantowego uczenia maszynowego

WAT

Podstawy Programowania 1

Projektowanie aplikacji internetowych i korporacyjnych

Projektowanie relacyjnych baz danych

Relacyjne systemy organizacji danych

Koźmiński University

Technologie kwantowe

Old Courses

Analiza danych w czasie rzeczywistym

Real Time Analytics

For students

QPoland

Contact

SGH Warsaw School of Economics Collegium of Economic Analysis al. Niepodległości 162 02-554 Warsaw, Poland

sebastian.zajac [at] sgh.waw.pl

My personal web page