Dr. Ozren Jovic

Dr. Ozren Jovic obtained his PhD in 2014 at the Faculty of Science University of Zagreb under the supervision of Prof. T. Hrenar and indirect supervision of Dr. T. Smolic, where he worked on the spectroscopic and chemometric analysis of food samples in establishing the prediction models of (low) analyte concentration in complex mixtures.

Within PMTC, Ozren is involved in the cleaning theme where he extensively works within on-line process analytical technology (PAT) tools on the development of chemometric models for the monitoring of pharmaceutical manufacturing and cleaning processes. He is also involved in the modeling of thermodynamic properties and solubilities of solids and liquids using modeling software such as COSMO-RS, Gromacs, ORCA, R and python.

Ozren was previously (2019-2022) a postdoctoral research scientist at the Ruđer Bošković Institute in Zagreb, where he performed dereplication of mass spectra and machine learning modellings in drug recognition pipelines, coupled with QSAR, molecular docking and molecular dynamics under the supervision of Dr. T. Šmuc. Between 2014 and 2018 he was postdoctoral scientist at the Faculty of Science University of Zagreb under the supervision of Prof. N. Galic, where besides mastering chemometrics in analytical data, he also published research articles in computational (DFT) modellings of organometal complexes, under indirect supervision of Prof. D. Matkovic-Calogovic. While between 2007 and 2014 we was a doctoral reasearch scientist at the Faculty of Science University of Zagreb under indirect supervision of Prof. Z. Meic and in cooperation with industrial firm Zvijezda d.d. in team research analysis of edible oil mixtures.

In addition to his educational and broad research experience, Ozren has been involved in projects related to food analysis, drug safety, unsaturated systems and metal compound studies, olive oil production and analysis, chemoinformatics analyses and screening of bioactive/natural compound databases. He was a technical editor of Croatica Chemica Acta journal for 12 years and a reviewer. He published so far 25 research articles in CC journals.

Areas of expertise:

-Chemometrics and machine learning in data science: variable selection plus hyperparametrization in regression and classification modellings (e.g. PLS, randomForest)

-Analytical Chemistry: Mainly spectrospopy (MIR, NIR, Raman, UV-Vis, NMR) and dereplication of MS spectra, signal analysis (also in electrochemistry)

-Computational chemistry in modellings of organic and organometallic compounds (ORCA, Gromacs, Amber)

-Large scale compound data analitics, e.g. in identification of small drug binding to targets