I'm a theoretical physicist, an assistant professor and an associate dean for infrastructure at the Faculty of Mathematics and Natural Sciences, Cardinal Stefan Wyszynski University in Warsaw (Poland). My research interests concern phenomenological, statistical and mathematical physics, in particular Neutrino physics and Category Theory in Quantum Mechanics and Quantum Field Theory. At present with dr hab. Piotr Sułkowski I also try characterize RNA and protein structures by topological characterization called genus.

Doctor of Philosophy • *17.09.2013*

Advisor: prof. dr hab. Marek Zralek

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

Musician • *2004*

Advisor: Franciszek Prus

Accordeon class.

S.Z., C. Geary, E.A. Andersen, P.Dabrowski-Tumanski, J.Sulkowska, P.Sulkowski

• *to appear*

We introduce the notion of the genus trace, which describes dependence of genus on the choice of a subchain of a given backbone chain. We find that the genus trace encodes interesting physical and biological information about a given biomolecule and its three dimensional structural complexity. We illustrate this statement by showing how the genus trace captures properties of various types of base pairs in RNA, enables to identify a domain structure of a ribosome and of proteins, etc. We find that the shape of the genus trace can detect cooperative folding inside multidomain protein. We also conduct a survey of all published RNA structures better than 3 A resolution in the PDB database, and find that natural structural RNAs have a roughly linear relationship in genus complexity per unit length.

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.

• *Physics of Atomic Nuclei Vol. 80, No. 4 (09.2017)*

In order to explain the fermions masses and mixing parameters appearing in the lepton sector of the Standard Model, one proposes the extension of its symmetry. A discrete, non-abelian subgroup of U(3) is added to the gauge group SU(3)_{C}xSU(2)_{L}xU(1)_{Y} . Apart from that, one assumes the existence of one extra Higgs doublet. This article focuses mainly on the mathematical theorems and computational techniques which brought us to the results. Springer - Physics of Atomic Nuclei, arXiv

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.

• *Physics of Atomic Nuclei Vol. 80, No. 2 (07.2017)*

The Standard Model does not explain the hierarchy problem. Before the discovery of nonzero lepton mixing angle theta_{13} high hopes in explanation of the shape of the lepton mixing matrix were combined with non-Abelian symmetries. Nowadays, assuming one Higgs doublet, it is unlikely that this is still valid. Texture zeroes, that are combined with abelian symmetries, are intensively studied. The neutrino mass matrix is a natural way to study such symmetries.

Springer - Physics of Atomic Nuclei, arXiv

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.

• *Acta Physica Polonica B46 (2015)*

In the framework of a two Higgs doublet model, we try to explain lepton masses and mixing matrix elements assuming that neutrinos are Dirac particles. Discrete family symmetry groups, which are subgroups of U(3) up to the order of 1025 are considered. Like in the Standard Model with one Higgs doublet, we found that discrete family symmetries do not give satisfactory answer to these basic questions in the flavour problem.

Acta Phys. Polonica B, arXiv

B.Dziewit, M.Zralek, S.Z.

• *Acta Physica Polonica B44 (2013)*

A brief discussion about the current status of the search for the possible finite symmetry of a leptonic mass matrix is presented. Possible extensions of the models of leptons that can describe the masses and mixing elements are discussed.

Acta Phys. Polonica

B.Dziewit, M.Zralek, S.Z.

• *Acta Physica Polonica B42 (2011)*

From the new existing data with not vanishing θ13 mixing angle we determine the possible shape of the Majorana neutrino mass matrix. We assume that CP symmetry is broken and all Dirac and Majorana phases are taken into account. Two possible approaches “bottom–up” and “top–down” are presented. The problem of unphysical phases is examined in detail.

Acta Phys. Polonica

E.W.Piotrowski, J.Sładkowski, J.Syska, S.Z.

• *Physica Status Solidi B, 246 (2009)*

The subjects of the paper are the likelihood method (LM) and the expected Fisher information (FI) considered from the point od view of the construction of the physical models which originate in the statistical description of phenomena. The master equation case and structural information principle are derived. Then, the phenomenological description of the information transfer is presented. The extreme physical information (EPI) method is reviewed. As if marginal, the statistical interpretation of the amplitude of the system is given. The formalism developed in this paper would be also applied in quantum information processing and quantum game theory.

Wiley Online LibraryarXiv

J.Syska, M.Zralek, S.Z.

• *Acta Physica Polonica B438 (2009)*

The process of the neutrino production, oscillation in the vacuum or in matter, and detection in the case of interactions which are beyond the Standard Model is considered. Neutrino states are described by the density matrix. The final neutrino production rate does not factorize. The known Maki–Nakagawa–Sakata neutrino states and the factorized production rate are recovered in the vSM regime.

Acta Phys. Polonica

AMA Institute, Warsaw • *10.2017*

UKSW WMP.SNS, Warsaw • *09.2016*

Warsaw School of Economics, Warsaw • *02.2016*

UKSW WMP.SNS, Warsaw • *09.2015*

Maxymiser Oracle, Warsaw • *11.2015-02.2016*

University of Silesia, Katowice• *04.2014-04.2018*

UKSW WMP.SNS, Warsaw • *10.2013-09.2015*

Warsaw University, Warsaw • *09.2013-09.2014*

GoWork, Warsaw • *07.2013-01.2015*

Biostat, Rybnik • *11.2011-01.2012*

Wasko, Gliwice • *07.2011-09.2011*

- Data processing in SAS: part I (SAS 2017)
- Data processing in SAS: macro language (SAS 2017)
- Introduction to Machine Learning with Python (Sages 2017)
- BigData Analysis with Apache Spark (ESSAM-ICM 2016)
- Designing and creating OLAP cubes (SAS 2016)
- Business analysis with SAS Visual Analytics (SGH, SAS 2016)
- Introduction to Big Data and Apache Hadoop (Sages 2014)

Analysis with Pandas - Python Data Analysis Library

Big Data, Data Analysis