About Me

Sebastian Zajac earned his PhD in Physics at the University of Silesia in Katowice. He is currently a theoretical physicist, an assistant professor at the Decision Analysis and Support Unit at SGH Warsaw School of Economics (Poland). He is a QPoland team member. The focus of his research are: Quantum Machine Learning, Real-Time analytics, data analysis in business, in particular geometry, topology and Category Theory in Quantum Mechanics, Quantum Field Theory and Quantum Computing. His latest publications center around the outliers detection in graphs (Toronto Univeristy) and time series and real-time data processing and analysis. With Piotr Sulkowski and Joanna Sulkowska they are trying to characterize RNA and protein structures by their topological characteristics called genus. The results of this work you can see on web serwer GENUS.


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

sebastian.zajac [at] sgh.waw.pl


University of Silesia in Katowice

Doctor of Philosophy 17.09.2013

Advisor: prof. dr hab Marek Zrałek
Accelerator neutrino oscillations and their non-standard interactions (PL) View

Master of Science 27.06.2007

Advisor: dr hab. Jerzy Król
Some geometrical and topological methods in classical and quantum field theory (PL). View

Bechelor of Science 27.06.2005

Advisor: dr hab. Jacek Syska
Time Series analysis with ARMA and ARIMA processes. Application in SAS. (PL) View

Music School in Rybnik, I and II degree

Musician 2004

Advisor: Franciszek Prus
Accordeon class.


Incorporating Gravity into the Path Integral of Quantum Mechanics Using the Thermodynamics of Spacetime

G. Biehle, C. Ellgen, B. Sabra, S.Z
OSF Preprints (19.07.2022)

Selected machine learning methods used for credit scoring

M. Wrzosek, D. Kaszynski, K. Przanowski, S.Z.
Oficyna Wydawnicza SGH (2020)

Variable selection methods

K. Przanowski, S.Z, D. Kaszynski, L. Opinski
Oficyna Wydawnicza SGH (2020)

Metody selekcji zmiennych w modelach skoringowych

K. Przanowski, S.Z.
Oficyna Wydawnicza SGH (2020)

Family Symmetries and Multi Higgs Doublet Models

B.Dziewit, J.Holeczek, S.Z., M.Zralek
Symmetry vol. 12(1) no. 156 (12.01.2020)

Semianar on Matter To The Deepest 2019 Conference (Katowice) View

Genus for biomolecules

P. Rubach, S.Z. , B. Jastrzebski, J. I. Sulkowska, P. Sulkowski
Nucleic Acids Research (04.10.2019)

Server adress View

Chord diagrams category and its limit

W. Kubis, S.Z.
to appear

Seminar on Summer Conference on Topology and its Applications 2018 (Bowling Green, USA) View

Seminar on Category Theory in Physics, Mathematics and Philosophy 2017 (Warsaw, PL) View

Genus trace reveals the topological complexity and domain structure of biomolecules

S.Z., C. Geary , E. A. Andersen, P. Dabrowski-Tumanski, J.Sulkowska, P.Sulkowski
Nature Scientific Reports vol. 8 no. 17537 (03.12.2018)

Lepton Masses and Mixing in Two-Higgs-Doublet Model

P. Chaber, B. Dziewit, J. Holeczek, M. Richter, M. Zralek, S.Z.
Physical Review D vol. 98 no. 55007 (06.09.2018)

Seminar on Discrete 2018 conference (Wienna, AU) View

Seminar on NOW 2018 Conference (Ostuni, Italy) View

Poster on Neutrino 2018 Conference (Heidelberg, GER) View

The discrete family symmetries as the possible solution to the flavour problem

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Physics of Atomic Nuclei vol. 80 no. 4 (9.2017)

Texture zeros in neutrino mass matrix

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Physics of Atomic Nuclei vol. 80 no. 2 (7.2017)

The Flavour Problem and the Family Symmetry Beyond the Standard Model

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Acta Physica Polonica B vol. 46 no. 11 (2015)

Attempts at Explaining Neutrino Masses and Mixings Using Finite Horizontal Symmetry Groups

B.Dziewit, M.Zralek, S.Z.
Acta Physica Polonica B vol. 44 no. 11 (2013)

Majorana neutrino mass matrix with CP symmetry breaking

B.Dziewit, M.Zralek, S.Z.
Acta Physica Polonica B vol. 42 no. 11 (2011)

The method of the likelihood and the Fisher information in the construction of physical models.

E.W.Piotrowski, J.Sładkowski, J.Syska, S.Z.
Physica Status Solidi B vol. 246 no. 5 (5.2009)

Neutrino Oscillations in the case of general interactions

J.Syska, M.Zralek, S.Z.
Acta Physica Polonica B vol. 38 no. 11 (2007)


Modelowanie dla biznesu. Analityka w czasie rzeczywistym - narzędzia informatyczne i biznesowe

ED. S. Zajac

Oficyna Wydawnicza SGH (2022)

Modelowanie dla biznesu. Metody machine learning, modele portfela Consumer Finance, modele rekurencyjne analizy przeżycia, modele skoringowe

ED. K. Przanowski, S.Z

Oficyna Wydawnicza SGH (2020)

The Credit scoring in the context of interpretable machine learning. Theory and Practice.

ED. D. Kaszyński, B. Kamiński, T. Szapiro.

Oficyna Wydawnicza SGH (2020)

Work experience

Polish National Agency for Academic Exchange NAWA project

SGH Warsaw School of Economics 7.2022

Theoretical Physics Consultant

Ordinal Research Institute, Pasadena, USA 3.2022

Big Data Expert in Credit Risk Information Department

PKO Bank Polski 9.2021

Data Science Expert

Algomine AI 12.2019 - 4.2021

Team member

QPoland 11.2019


WSB Academy, Dabrowa Gornicza 10.2019 - 2.2022


UKSW WMP.SNŚ Warsaw 10.2019 - 10.2022

Grant coworker - Random matrix models: from biomolecules to topological recursions

Warsaw University, Warsaw 6.2019 - 12.2019

Assistant Professor

Warsaw School of Economics, Warsaw 4.2019

Data Science Expert

AMA Institute, Warsaw 10.2017 - 5.2019

Associate Dean for Infrastructure

UKSW WMP.SNŚ Warsaw 9.2016 - 4.2019


Warsaw School of Economics, Warsaw 2.2016 - 6.2016

Assistant Professor

UKSW WMP.SNS, Warsaw 9.2015 - 4.2019

Junior Front End Developer

Maxymiser Oracle, Warsaw 11.2015 - 2.2016

NCN Opus Grant coworker - neutrino physics

University of Silesia, Katowice 4.2014 - 4.2018


UKSW WMP.SNS, Warsaw 10.2013 - 9.2015

Postdoc - On topology, interacting RNA and quantum physics

Warsaw University, Warsaw 9.2013 - 9.2014

Lecturer - Webpage programming in HTML5, CSS3, PHP and JS

GoWork, Warsaw 7.2013 - 1.2015

Statistical Analyst

Biostat, Rybnik 11.2011 - 1.2012

Software tester of SI WCPR system

Wasko, Gliwice 7.2011 - 9.2011


  • ,,Wykorzystanie narzędzi analiz danych w czasie rzeczywistym oraz metod topologicznej analizy danych w problemie przejścia fazowego''
    MSc J. Szczepanski SGH Warsawa School of Economics (14.12.2021)
  • ,,Współzależność sentumetnu informacji giełdowej oraz zmian trendu kursu akcji. Analiza sentymentu na podstawie artykułów o tematyce finansowo-biznesowej ''
    MSc D. Szczesna SGH Warsawa School of Economics (14.12.2021)
  • ,,Metody analizy grafów na danych scoringowych''
    MSc E. Redzik SGH Warsawa School of Economics (18.02.2022)
  • ,,Porównywanie dokumentów z wykorzystaniem metod sztucznej inteligencji''
    MSc D. Barcz SGH Warsawa School of Economics (22.02.2022)
  • ,,System monitorowania urządzeń IoT w czasie rzeczywistym''
    MSc K. Kowalczyk, H. Janicki SGH Warsawa School of Economics (09.06.2922)
  • ,,Optymalizacja portfela inwestycyjnego z wykorzystaniem obliczeń kwantowych''
    MSc A. Wojnarowicz SGH Warsawa School of Economics (28.09.2022)
  • ,,Środowisko produkcyjne dla modelu rekomendacji filmów z wykorzystaniem programu R i innych narzędzi''
    MSc A. Dybowski SGH Warsawa School of Economics (28.09.2022)
  • ,,Kwantowe sieci neuronowe, ich wykorzystanie i porównanie z klasycznym podejściem''
    MSc M. Nurek SGH Warsawa School of Economics (23.11.2022)
  • ,,Klasyczne i kwantowe przetwarzanie danych tekstowych z platformy Twitter''
    MSc P. Adamczyk SGH Warsawa School of Economics (23.11.2022)
  • ,,Zastosowanie metod topologicznej analizy danych do równoważenia obciążenia w sieciach komputerowych''
    MSc Y. Varonik SGH Warsawa School of Economics (23.11.2022)
  • ,,Analiza zakupowa z wykorzystaniem algorytmu Word2Vec''
    MSc M. Wasielewski SGH Warsawa School of Economics (23.11.2022)


  • SIAM Workshop on Network Science (NS22)
    September , 13-15,2022, , Online

    The workshop will be held remotely and will include keynote presentations, contributed talks, and posters. To facilitate participation from different time zones, each day the activities will start at 10:00am and end by 3:40pm EDT. Participation is open to the entire community (not only to SIAM members), but registration is required.

    Big Data, SAS

  • , , ,