about me.

I'm a theoretical physicist and an assistant professor at the Decision Analysis and Support Unit at SGH Warsaw School of Economics (Poland). I am a researcher with a keen focus on the intersection of cutting-edge technologies and practical business applications. My primary research areas encompass Quantum Machine Learning and Quantum Computing on NISQ devices, which reflect my dedication to exploring the potential of quantum computing in solving complex problems. Additionally, I am deeply involved in the field of streaming data analytics, where I seek to harness real-time data for meaningful insights. A significant aspect of my work involves the fusion of quantum and classical optimization techniques to enhance business processes.

My recent contributions to the academic landscape include publications that demonstrate my expertise in outlier detection. Specifically, I have delved into the challenging domains of complex networks and time series data, where I've developed novel methodologies for identifying outliers, ultimately contributing to a deeper understanding of these intricate data structures.

Overall, my research showcases a commitment to pushing the boundaries of technology while addressing real-world challenges, making strides in both the quantum and data analytics domains.

Contact

SGH Warsaw School of Economics
Collegium of Economic Analysis
al. Niepodległości 162
02-554 Warsaw, Poland
sebastian.zajac [at] sgh.waw.pl

CV EN CV PL Publications

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

Classification Supported by Community-Aware Node Features

B. Kaminski, P. Pralat, F. Theberge, S.Z.
• Proceedings of the 12th Intenational Conference on Complex Networks and their Applications ()

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

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

Supervisor

  • ,,Wykorzystanie narzędzi analiz danych w czasie rzeczywistym oraz metod topologicznej analizy danych w problemie przejścia fazowego''
    MSc J. Szczepanski SGH Warsaw School of Economics (14.12.2021)
  • ,,Współzależność sentymetnu informacji giełdowej oraz zmian trendu kursu akcji. Analiza sentymentu na podstawie artykułów o tematyce finansowo-biznesowej ''
    MSc D. Szczesna SGH Warsaw School of Economics (14.12.2021)
  • ,,Metody analizy grafów na danych scoringowych''
    MSc E. Redzik SGH Warsaw School of Economics (29.04.2022)
  • ,,Porównywanie dokumentów z wykorzystaniem metod sztucznej inteligencji''
    MSc D. Barcz SGH Warsaw School of Economics (29.04.2022)
  • ,,System monitorowania urządzeń IoT w czasie rzeczywistym''
    MSc K. Kowalczyk, H. Janicki SGH Warsaw School of Economics (20.07.2922)
  • ,,Optymalizacja portfela inwestycyjnego z wykorzystaniem obliczeń kwantowych''
    MSc A. Wojnarowicz SGH Warsaw School of Economics (28.09.2022)
  • ,,Środowisko produkcyjne dla modelu rekomendacji filmów z wykorzystaniem programu R i innych narzędzi''
    MSc A. Dybowski SGH Warsaw School of Economics (28.09.2022)
  • ,,Kwantowe sieci neuronowe, ich wykorzystanie i porównanie z klasycznym podejściem''
    MSc M. Nurek SGH Warsaw School of Economics (23.11.2022)
  • ,,Klasyczne i kwantowe przetwarzanie danych tekstowych z platformy Twitter''
    MSc P. Adamczyk SGH Warsaw School of Economics (23.11.2022)
  • ,,Zastosowanie metod topologicznej analizy danych do równoważenia obciążenia w sieciach komputerowych''
    MSc Y. Varonik SGH Warsaw School of Economics (23.11.2022)
  • ,,Analiza zakupowa z wykorzystaniem algorytmu Word2Vec''
    MSc M. Wasielewski SGH Warsaw School of Economics (23.11.2022)
  • ,,Rozpoznawanie tekstu przy użyciu metod optycznego rozpoznawania znaków OCR''
    MSc R. Pieńskosz SGH Warsaw School of Economics (24.11.2022)
  • ,,Business case for real-time dis- and misinformation detection dashboard''
    MSc A. Karuzina SGH Warsaw School of Economics (29.03.2023)
  • ,,Generator danych skoringowych w trybie online''
    MSc K. Dragan SGH Warsaw School of Economics (29.03.2023)
  • ,,Pozyskanie oraz wizualizacja danych warszawskiego rynku nieruchomości z wykorzystaniem technik ETL i Power BI''
    MSc B. Radź SGH Warsaw School of Economics (18.07.2023)
  • ,,Zastosowanie konwolucyjnych sieci neuronowych w klasyfikacji znaków drogowych''
    MSc M. Kuś SGH Warsaw School of Economics (18.07.2023)
  • ,,Wspomaganie sprzedaży pojazdów z wykorzystaniem narzędzi sztucznej inteligencji''
    MSc K. Wilnicki SGH Warsaw School of Economics (18.07.2023)
  • ,,Wspomaganie decyzji inwestycyjnych na rynku giełdowym z wykorzystaniem rekurencyjnych sieci neuronowych i łańcuchów Markowa''
    MSc E. Witkowski SGH Warsaw School of Economics (28.09.2023)
  • ,,Wykorzystanie narzędzi uczenia maszynowego oraz optycznego rozpoznawania znaków do predykcji meczów e-sportowych''
    MSc Ł. Makaruk SGH Warsaw School of Economics (16.10.2023)
  • ,,Wykorzystanie algorytmów kwantowych w optymalizacji kombinatorycznej''
    MSc P. Michałowski SGH Warsaw School of Economics (16.10.2023)
  • ,,Problem niezbalansowanych danych. Techniki analizy w zastosowaniach uczenia maszynowego.''
    MSc T. WIliński SGH Warsaw School of Economics (16.10.2023)

Events

  • 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

  • 18.S097 Special Subject in Mathematics: Introduction to Julia for Data Science
    January, 17-20, 2023, Boston, USA

    During this short course you will learn how to build data science models using Julia. Moreover, we will teach you how to deploy such model in production environments and scale the computations beyond a single computer.

    Julia, Data Science

  • WAW 2023 18th Workshop on Algorithms and Models for the Web Graph
    May , 15-19 2023, Toronto, Canada

    The aim of the 18th Workshop on Algorithms and Models for the Web Graph (WAW 2023) is to further the understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. The workshop will also welcome the researchers who are working on graph-theoretic and algorithmic aspects of citation networks, social networks, biological networks, molecular networks, and the Internet.

    Complex Graph

  • WAW 2023 Conference
    May , 23-26, 2023, Toronto, Canada

    The World Wide Web has become part of our everyday life, and information retrieval and data mining on the Web are now of enormous practical interest. The algorithms supporting these activities combine the view of the Web as a text repository and as a graph, induced in various ways by links among pages, hosts and users.

    Complex Graph

  • Quantum Computing Thematic Track in conjuction with the Internationa Conference on Computational Science
    July, 3-5, 2023, Prague, Czech Republic

    Quantum computing is a new paradigm that exploits the fundamental principles of quantum mechanics to solve problems in various fields of science that are beyond the possibilities of classical computing infrastructures. Despite the increasing activity in both theoretical research and hardware implementations, reaching the state of useful quantum supremacy is still an open question. This workshop aims to provide a forum for computational scientists, software developers, computer scientists, physicists and quantum hardware providers to understand and discuss research on current problems in quantum informatics.

    Quantum Computing

  • The Social Networks & Complex Systems Workshop
    June, 20-21, 2023, Warsaw, Poland

    he Social Networks & Complex Systems Workshop is a multidisciplinary event that gathers together researchers in the areas of economics, social networks, complex systems and discrete mathematics interested in exploring the intricate dynamics and interconnections that shape economic systems. At the core of this workshop lies the desire to better understand the underlying structures, patterns, and processes that govern social networks and complex systems.

    Complex Networks

  • 12th International Conference on Complex Networks and their Applications
    November, 28-30, 2023, Menton Riviera, France

    The international Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex netoworks.

    Complex Networks

  • 19th Workshop on Modelling and Mining Networks (WAW 2024)
    June, 3-7, 2024, Warsaw, Poland

    The aim of the 19th Workshop on Modelling and Mining Networks (WAW 2024) is to further the understanding of networks that arise in theoretical as well as applied domains. The goal is also to stimulate the development of high-performance and scalable algorithms that exploit these networks. The workshop welcomes the researchers who are working on graph-theoretic and algorithmic aspects of networks represented as graphs or hypergraphs and other higher order structures.

    Complex Graph, Complex Networks