Research/art/teacher profile of a person
Name and surname:
doc. Mgr. Pavol Bokes, PhD.
Document type:
Research/art/teacher profile of a person
The name of the university:
Comenius University Bratislava
The seat of the university:
Šafárikovo námestie 6, 818 06 Bratislava

I. - Basic information

I.1 - Surname
Bokes
I.2 - Name
Pavol
I.3 - Degrees
doc. Mgr. PhD.
I.4 - Year of birth
1983
I.5 - Name of the workplace
Faculty of mathematics and physics, Comenius University in Bratislava
I.6 - Address of the workplace
Mlynská dolina, 84248 Bratislava
I.7 - Position
docent
I.8 - E-mail address
pavol.bokes@fmph.uniba.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/5762
I.10 - Name of the study field in which a person works at the university
mathematics
I.11 - ORCID iD
0000-0002-8414-6933

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.2 - Second degree of higher education
II.a - Name of the university or institution
Comenius University
II.b - Year
2006
II.c - Study field and programme
mathematics, mathematical analysis
II.3 - Third degree of higher education
II.a - Name of the university or institution
University of Nottingham
II.b - Year
2010
II.c - Study field and programme
mathematics
II.4 - Associate professor
II.a - Name of the university or institution
Comenius University
II.b - Year
2016
II.c - Study field and programme
mathematics
II.5 - Professor
II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position III.b - Institution III.c - Duration
associate professor Comenius University 2016-today
assistant professor Comenius University 2010-2016

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes
V.1.a - Name of the profile course V.1.b - Study programme V.1.c - Degree V.1.d - Field of study
Differential and difference equations mEFM 2 mathematics
Markov processes II mPMS 2 mathematics
Markov processes I mPMS 2 mathematics
Stochastic methods in operational analysis mEMMM magister mathematics
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.2.a - Name of the study programme V.2.b - Degree V.2.c - Field of study
Probability and mathematical statistics magister mathematics
Insurance mathematics bachelor mathematics
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
3
V.4.b - Diploma (second degree)
2
V.4.c - Dissertation (third degree)
1
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
13
V.4.b - Diploma (second degree)
11
V.4.c - Dissertation (third degree)
2
V.5 - Overview of other courses taught in the current academic year according to study programmes

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
26
VI.1.b - Over the last six years
16
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
21
VI.1.b - Over the last six years
13
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
268
VI.1.b - Over the last six years
157
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
215
VI.1.b - Over the last six years
136
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
14
VI.1.b - Over the last six years
6
VI.2 - The most significant research/artistic/other outputs
1
Bokes, P., King, J. R., Wood, A. T., & Loose, M. (2012). Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression. Journal of mathematical biology, 64(5), 829-854.
2
Bokes, P., King, J. R., Wood, A. T., & Loose, M. (2012). Multiscale stochastic modelling of gene expression. Journal of mathematical biology, 65(3), 493-520.
3
Bokes, Pavol, John R. King, Andrew TA Wood, and Matthew Loose. "Transcriptional bursting diversifies the behaviour of a toggle switch: hybrid simulation of stochastic gene expression." Bulletin of mathematical biology 75, no. 2 (2013): 351-371.
4
Bokes, P., & Singh, A. (2017). Gene expression noise is affected differentially by feedback in burst frequency and burst size. Journal of mathematical biology, 74(6), 1483-1509.
5
Bokes, P., Borri, A., Palumbo, P., & Singh, A. (2020). Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach. Journal of Mathematical Biology, 81(1), 343-367.
VI.3 - The most significant research/artistic/other outputs over the last six years
1
Bokes, P., Borri, A., Palumbo, P., & Singh, A. (2020). Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach. Journal of Mathematical Biology, 81(1), 343-367.
2

Bokes, P. (2022). Postponing production exponentially enhances the molecular memory of a stochastic switch. European Journal of Applied Mathematics, 33(1), 182-199.

3

Bokes, P. (2022). Stationary and time-dependent molecular distributions in slow-fast feedback circuits. SIAM Journal on Applied Dynamical Systems, 21(2), 903-931.

4
Bokes, P., & King, J. R. (2019). Limit-cycle oscillatory coexpression of cross-inhibitory transcription factors: a model mechanism for lineage promiscuity. Mathematical medicine and biology: a journal of the IMA, 36(1), 113-137.
5
Bokes, P. (2019). Maintaining gene expression levels by positive feedback in burst size in the presence of infinitesimal delay. Discrete & Continuous Dynamical Systems-B, 24(10), 5539.
VI.4 - The most significant citations corresponding to the research/artistic/other outputs
1
Bokes, P., & Singh, A. (2017). Gene expression noise is affected differentially by feedback in burst frequency and burst size. Journal of mathematical biology, 74(6), 1483-1509. [o1] 2017 - Falk, J. - Mendler, M. - Drossel, B. : A minimal model of burst-noise induced bistability. - In: PLoS ONE, Vol. 12, No. 4, 2017 ; Art. No. e0176410 ; SCI ; SCOPUS [o1] 2018 - Lin, Y. T. - Buchler, N. E. : Efficient analysis of stochastic gene dynamics in the non-adiabatic regime using piecewise deterministic Markov processes. - In: Journal of the Royal Society Interface, Vol. 15, No. 138, 2018 ; Art. No. 20170804 ; SCI ; SCOPUS [o1] 2018 - Mendler, M. - Falk, J. - Drossel, B. : Analysis of stochastic bifurcations with phase portraits. - In: PLoS ONE, Vol. 13, No. 4, 2018 ; Art. No. e0196126 ; SCI ; SCOPUS [o1] 2018 - Wang, H. - Liu, P. - Li, Q. - Zhou, T. : Entangled signal pathways can both control expression stability and induce stochastic focusing. - In: Febs Letters, Vol. 592, No. 7, 2018 ; s. 1135-1149 ; SCI ; SCOPUS [o1] 2019 - Canizo, J. A. - Carrillo, J. A. - Pajaro, M. : Exponential equilibration of genetic circuits using entropy methods. - In: Journal of Mathematical Biology, Vol. 78, No. 1-2, 2019 ; s. 373-411 ; SCI ; SCOPUS
2
Bokes, Pavol, John R. King, Andrew TA Wood, and Matthew Loose. "Transcriptional bursting diversifies the behaviour of a toggle switch: hybrid simulation of stochastic gene expression." Bulletin of mathematical biology 75, no. 2 (2013): 351-371. [o1] 2014 - Newby, J. M. : Spontaneous excitability in the Morris-Lecar model with ion channel noise. - In: SIAM Journal on Applied Dynamical Systems, Vol. 13, No. 4, 2014 ; s. 1756-1791 ; SCI ; SCOPUS [o3] 2014 - Newby, J. M. - Bressloff, P. C. - Keener, J. P. : Breakdown of fast-slow analysis in an excitable system with channel noise: supplementary material. - In: Physical Review Leetters, Vol. 111, No. 12, 2013 ; Art. No. 128101, http://www.math.utah.edu/~bresslof/publications/13-8.pdf [o1] 2015 - Potoyan, D. A. - Wolynes, P. G. : Dichotomous noise models of gene switches. - In: Journal of Chemical Physics, Vol. 143, No. 19, 2015 ; Art. No. 195101 ; SCI ; SCOPUS [o1] 2016 - Lin, Y. T. - Galla, T. : Bursting noise in gene expression dynamics: linking microscopic and mesoscopic models. - In: Journal of the Royal Society Interface, Vol. 13, No. 114, 2016 ; Art. No. 20150772 ; SCI ; SCOPUS [o1] 2016 - Lin, Y. T. - Doering, C. R. : Gene expression dynamics with stochastic bursts: Construction and exact results for a coarse-grained model. - In: Physical Review E, Vol. 93, No. 2, 2016 ; Art. No. 022409 ; SCI ; SCOPUS [o1] 2016 - Mackey, M. C. - Santillan, M. - Tyran-Kaminska, M. - Zeron, E. S. : Simple Mathematical Models of Gene Regulatory Dynamics Preface. - In: Simple Mathematical Models of Gene Regulatory Dynamics : Lecture Notes on Mathematical Modelling in the Life Sciences . - Cham : Springer, 2016 ; 124 s. ; BKCI-S [o1] 2016 - Mackey, M. C. - Tyran-Kaminska, M. : The limiting dynamics of a bistable molecular switch with and without noise. - In: Journal of Mathematical Biology, Vol. 73, No. 2, 2016 ; s. 367-395 ; SCI ; SCOPUS
3
Bokes, P., King, J. R., Wood, A. T., & Loose, M. (2012). Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression. Journal of mathematical biology, 64(5), 829-854. [o1] 2015 - Feigelman, J. - Popovic, N. - Marr, C. : A case study on the use of scale separation-based analytical propagators for parameter inference in models of stochastic gene regulation. - In: Journal of Coupled Systems and Multiscale Dynamics, Vol. 3, No. 2, 2015 ; s. 164-173 [o1] 2015 - Jansen, M. - Pfaffelhuber, P. : Stochastic gene expression with delay. - In: Journal of Theoretical Biology, Vol. 364, 2015 ; s. 355-363 ; SCI ; SCOPUS [o1] 2015 - Kumar, N. - Singh, A. - Kulkarni, R. V. : Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. - In: Plos Computational Biology, Vol. 11, No. 10, 2015 ; Art. No. e1004292 ; SCI ; SCOPUS [o1] 2015 - Ruess, J. : Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. - In: Journal of Chemical Physics, Vol. 143, No. 24, 2015 ; Art. No. 244103 ; SCI ; SCOPUS [o1] 2015 - Thomas, P. - Grima, R. : Approximate probability distributions of the master equation. - In: Physical Review E, Vol. 92, No. 1, 2015 ; Art. No. 012120 ; SCI ; SCOPUS [o1] 2016 - Jedrak, J. - Ochab-Marcinek, A. : Influence of gene copy number on self-regulated gene expression. - In: Journal of Theoretical Biology, Vol. 408, 2016 ; s. 222-236 ; SCI ; SCOPUS
4
Bokes, P., King, J. R., Wood, A. T., & Loose, M. (2012). Multiscale stochastic modelling of gene expression. Journal of mathematical biology, 65(3), 493-520. [o1] 2017 - Dessalles, R. - Fromion, V. - Robert, P. : A stochastic analysis of autoregulation of gene expression. - In: Journal of Mathematical Biology, Vol. 75, No. 5, 2017 ; s. 1253-1283 ; SCI ; SCOPUS [o1] 2017 - Schnoerr, D. - Sanguinetti, G. - Grima, R. : Approximation and inference methods for stochastic biochemical kinetics-a tutorial review. - In: Journal of Physics A-Mathematical and Theoretical, Vol. 50, No. 9, 2017 ; Art. No. 093001, s. 1-60 ; SCI ; SCOPUS [o1] 2017 - Vazquez-Jimenez, A. - Santillan, M. - Rodriguez-Gonzalez, J. : How the extrinsic noise in gene expression can be controlled?. - In: IFAC Papersonline, Vol. 50, No. 1 . - Amsterdam : Elsevier Science Bv, 2017 ; S. 15092-15096 ; CPCI-S ; SCOPUS [o1] 2017 - Winkelmann, S. - Schuette, C. : Hybrid models for chemical reaction networks: Multiscale theory and application to gene regulatory systems. - In: Journal of Chemical Physics, Vol. 147, No. 11, 2017 ; Art. No. 114115 ; SCI ; SCOPUS [o1] 2018 - Czuppon, P. - Pfaffelhuber, P. : Limits of noise for autoregulated gene expression. - In: Journal of Mathematical Biology, Vol. 77, No. 4, 2018 ; s. 1153-1191 ; SCI ; SCOPUS
5
Bokes, P., & King, J. R. (2019). Limit-cycle oscillatory coexpression of cross-inhibitory transcription factors: a model mechanism for lineage promiscuity. Mathematical medicine and biology: a journal of the IMA, 36(1), 113-137. [o1] 2020 - Gilbert, K. - Hammond, K. D. - Brodsky, V. Y. - Lloyd, D. : An appreciation of the prescience of Don Gilbert (1930–2011): master of the theory and experimental unravelling of biochemical and cellular oscillatory dynamics. - In: Cell Biology International, Vol. 44, No. 6, 2020 ; s. 1283-1298 ; SCI ; SCOPUS [o1] 2020 - Jia, C. - Grima, R. : Dynamical phase diagram of an auto-regulating gene in fast switching conditions. - In: Journal of Chemical Physics, Vol. 152, No. 17, 2020 ; Art. No. 74110 ; SCI ; SCOPUS
VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
1

APVV-18-0308 Nelineárne javy v dynamických systémoch z prírodných a technických vied, spoluriešiteľ, 2019-2023

2

VEGA 1/0339/21 Kvalitatívne vlastnosti riešení eliptických a evolučných rovníc, spoluriešiteľ, 2021-2023

3

Špičkový tím Bratislavská škola kvalitatívnej teórie diferenciálnych rovníc, spoluriešiteľ, 2015-2022

4

VEGA 1/0339/21 Kvalitatívne vlastnosti riešení eliptických a evolučných rovníc, spoluriešiteľ, 2021-dnes

5

VEGA 1/0755/22 Matematické modelovanie biologických a epidemiologických procesov, vedúci, 2022-2024

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VII.a - Activity, position VII.b - Name of the institution, board VII.c - Duration
Podpredseda Akademický senát FMFI UK 2022 - dnes
Člen Výbor slovenskej matematickej spoločnosti 2020 - dnes
Katetrový Koordinátor Erazmus+ 2023 - dnes

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts