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 Department of Statistical Methods and Business Analysis at SGH Warsaw School of Economics (Poland). He is a American Physical Society member and QPoland member. The focus of his research are Real-Time analytics, Quantum Machine Learning, mathematical physics, in particular symmetries in neutrino physics and geometry, topology and Category Theory in Quantum Mechanics, Quantum Field Theory and Quantum Computing. His latest publications center around the flavour problem in the field of neutrino physics. 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.


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

Advanced Scorecard Builder - Python Package

S.Z. AMA Institute
PyPi Library (07.09.2018)

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)


Metody selekcji zmiennych w modelach skoringowych, chapter 2

Modelowanie dla Biznesu. Metody ML, modele portfela consumer finance, modele rekurencyjne analizy przeżycia, modele scoringowe.

ED. K. Przanowski, S.Z.

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

Seminar on "Modelowanie dla Biznesu 2019" Conference (Warsaw, Poland) View

Seminar on "SAS dla Praktyków 2020" Conference (Warsaw, PL) View

Variable selection methods, chapter 3

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

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

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

Selected machine learning methods used for credit scoring, chapter 4

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

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

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

Work experience

Data Science Engineer

Algomine AI 12.2019 - 4.2021

Team member, Mentor

QPoland 11.2019


WSB Academy, Dabrowa Gornicza 10.2019


UKSW WMP.SNŚ Warsaw 10.2019

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

Warsaw University, Warsaw 6.2019 - 12.2019

Assistant Professor

SGH Warsaw School of Economics, Warsaw 4.2019

Data Analysis 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 PHP and JS

GoWork, Warsaw 7.2013 - 1.2015

Statistical Analyst

Biostat, Rybnik 11.2011 - 1.2012

Software tester SI WCPR system

Wasko, Gliwice 7.2011 - 9.2011


  • Introduction to Big Data and Apache Hadoop (Sages 2014)
  • Business analysis with SAS Visual Analytics (SGH, SAS 2016)
  • Designing and creating OLAP cubes (SAS Institute 2016)
  • BigData Analysis with Apache Spark (ESSAM-ICM 2016)
  • Introduction to Machine Learning with Python (Sages 2017)
  • Data processing in SAS: macro language (SAS Institute 2017)
  • Data processing in SAS: part I (SAS Institute 2017)
  • Practical Machine Learning for Beginners (DataWorkshop 2018)
  • Practical Machine Learning (DataWorkshop 2019)
  • Data processing in SAS: part I (SAS Institute 2020)
  • SAS Visual Analytics 1 (SAS Viya) (SAS Institute 2020)
  • SAS Viya: Integracja z Pythonem (SAS Institute 2020)
  • Vertica Essentials 9.x (Vertica 2020)
  • How to become a Data Scientist using Azure Machine Learning (Udemy 2020)
  • The Big Data processing with Apache Spark (Sages 2020)
  • SAS Visual Analytics 2 (SAS Viya) (SAS Institute 2020)
  • Complete Natural Language Processing (NLP) with Python (Udemy 2020)
  • Intro to Deep Learning (Kaggle 2021)
  • Intro to AI Ethics (Kaggle 2021)


  • The 7th Internationa workshop "Advanced Analytics and Data Science". Real Time Analytics & Cybersecurity
    September , 14, 2020, Warsaw, Poland

    The conference is organized by the SGH Warsaw School of Economics under the honorary patrhonage of HM Rector- Proffesor Piotr Wachowiak, Ph.D. The international event gathers both data scientists and business leaders who are passionate about analytics. The main objective of the conference is to encourage discussion on the vision and strategy for the development of business and academic sectors using advanced analytical tools and a foundation for developing data-driven business and analytical environments.

    Big Data, SAS
  • Data Science Summit 2020
    October, 16, 2020, Warsaw, Poland

    Data Science Summit to największa w regionie Europy Środkowo-Wschodniej niezależna konferencja data science. Konferencji dodatkowo towarzyszy jedyne w Polsce Data Science Expo – część ze standami dostawców technologii i rozwiązań DS oraz aktualnie rekrutującymi pracodawcami.

    Big Data
  • Współczesne metody i praktyki w ryzyku kredytowym
    May, 18, 2021, Warsaw, Poland

    Tematami poruszanymi podczas konferencji będą nowoczesne metody oceny ryzyka kredytowego #creditrisk #ai #xai. Prelegentami będą współautorzy monografii "Credit Scoring in Context of Interpretable Machine Learning" - książka dostępna pod adresem: http://bityl.pl/IKPzE.

    Credit Scoring
  • Credit Scoring and Credit Control Conference XVII (Online)
    August, 25-27, 2021, Edinburgh,

    Credit Scoring