Dr. Jovan Tanevski

[ˈjɔvan̪ ˈt̪an̪ɛvs̪ki]

Research assistant at the Jožef Stefan Institute
Research associate at Heidelberg University Hospital

Basic information

Contact:

Jovan Tanevski

Institute for Computational Biomedicine
Heidelberg University & Heidelberg University Hospital
In Neuenheimer Feld 267
69120 Heidelberg
Germany

Department of Knowledge Technologies
Jožef Stefan Institute
Jamova 39
1000 Ljubljana
Slovenia

E-mail

jovan[dot]tanevski[at]uni-heidelberg[dot]de
jovan[dot]tanevski[at]ijs[dot]si

Phone

+49 6221 54 51211
+386 1 477 3943

Social:

Twitter LinkedIn ResearcghGate


Research interests:

Machine learning
Computational scientific discovery
Modeling dynamical systems
Process-based modeling
Stochastic simulation
Evolutionary optimization

Areas of application:

Systems biology
Synthetic biology
Systems medicine



Projects

Publications

Selected publications


Jovan Tanevski, Attila Gabor, Ricardo Omar Ramirez Flores, Denis Schapiro, Julio Saez-Rodriguez, 2020, Explainable multi-view framework for dissecting inter-cellular signaling from highly multiplexed spatial data, bioRxiv 2020.05.08.084145.

Jovan Tanevski et al., 2020, Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data, Life Science Alliance, 3:11.

Christian H Holland, Jovan Tanevski, Javier Perales-Paton, Jan Gleixner, Manu P Kumar, Elisabetta Mereu, Brian A Joughin, Oliver Stegle, Douglas A Lauffenburger, Holger Heyn, Bence Szalai, Julio Saez-Rodriguez, 2020, Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data, Genome Biology, 21:36.

Nina Verdel, Jovan Tanevski, Sašo Džeroski, Boris Majaron, 2020, Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy, Biomedical Optics Express, 11:3.

Jovan Tanevski, Ljupčo Todorovski, Sašo Džeroski, 2020, Combinatorial search for selecting the structure of models of dynamical systems with equation discovery, Engineering Applications of Artificial Intelligence 89, 103423.

Žiga Lukšič, Jovan Tanevski, Sašo Džeroski, Ljupčo Todorovski, 2019, Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems, IEEE Access 7, 181829-181841.

Nikola Simidjievski, Jovan Tanevski, Bernard Ženko, Zoran Levnajić, Ljupčo Todorovski, Sašo Džeroski, 2018, Decoupling approximation robustly reconstructs directed dynamical networks, New Journal of Physics, 20:113003.

Jovan Tanevski, Nikola Simidjievski, Ljupčo Todorovski, Sašo Džeroski, 2017, Process-Based Modeling and Design of Dynamical Systems, Machine Learning and Knowledge Discovery in Databases, LNCS, Springer.

Jovan Tanevski, Ljupčo Todorovski, Sašo Džeroski, 2016, Process-based design of dynamical biological systems, Scientific Reports, 6:34107.

Jovan Tanevski, Ljupčo Todorovski, Sašo Džeroski, 2016, Learning stochastic process-based models of dynamical systems from knowledge and data, BMC Systems Biology, 10:30.

Jovan Tanevski, Ljupčo Todorovski, Yannis Kalaidzidis, Sašo Džeroski, 2015, Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis, BMC Systems Biology, 9:31.

Complete list of publications