about me

I am a theoretical physicist and an assistant professor at the Decision Analysis and Support Unit at SGH Warsaw School of Economics. My research focuses on developing novel quantum machine learning algorithms for prediction, forecasting, and real-world applications of quantum technology.
A significant part of my work is dedicated to quantum time series analysis, an area that has received little attention within the quantum computing community. As a result, much of my research explores uncharted territory. One of the most exciting and challenging aspects of this field is quantum time series anomaly detection, where I actively collaborate with Prof. Jacob Cybulski from Melbourne, Australia.
Quantum machine learning techniques offer a powerful approach to identifying complex patterns that deviate from typical time series behavior. In addition to my research, I work as an MLOps engineer, developing Python-based tools for data scientists and integrating quantum and classical optimization techniques to enhance business processes.

Contact

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

sebastian.zajac [at] sgh.waw.pl

Education

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.

Publications

The Art of Data Encoding and Decoding for Quantum Time Series Analysis

J. L. Cybulski, S.Z.
submitted to Tba

Poster on 8th International Conference on Quantum Techniques in Machine Learning, (Melbourne, Australia) 25-29 November 2024 View

Design Considerations for Denoising Quantum Time-Series Autoencoder

J. L. Cybulski, S.Z.
24th International Conference on Computational Science (ICCS) vol. 6 (30.06.2024)

Seminar on WZBO online 2024 (Poland) View

Seminar on Quantum Machine Learning Conference 2024 View

Seminar on Warszawskie Dni Informatyki 2024 View

Seminar on AI Spring 2024 (Warsaw, Poland) View

Seminar on 24th International Conference on Computational Science 2024 (Malaga, Spain) View

Classification Supported by Community-Aware Node Features

B. Kaminski, P. Pralat, F. Theberge, S.Z.
Complex Networks & Their Applications XII vol. 4 (29.02.2024)

Seminar on 18th Workshop on Algorithms and Models for the Web Graph (WAW 2023) (Toronto, Canada) View

Seminar on 12th International Conference on Complex Networks and their Applications (Menton Riviera, France) View

Seminar on Data Science Summit 2023 (Warsaw, Poland) View

Seminar on AI Spring 2024 (Warsaw, Poland) View

Predicting Properties of Nodes via Community-Aware Features

B. Kaminski, P. Pralat, F. Theberge, S.Z.
Social Network Analysis and Mining vol. 14 (15.06.2024)

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)

Monographies

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 - 6.2022

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

Lecturer

WSB Academy, Dabrowa Gornicza 10.2019 - 2.2022

Lecturer

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

Lecturer

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

Lecturer

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