Worked on various statistics and mathematics approaches, including predictive modeling and model fitting, preprocessing, feature selection, multivariate regression methods, self-modeling curve resolution methods (such as Multivariate Curve Resolution-Alternative Least Square (MCR-ALS) Evolving Factor Analysis, EFA, Positive Matrix Factorization, PMF), pattern recognition methods, artificial neural networks, machine learning, and experience working with large datasets including environmental… Show more Worked on various statistics and mathematics approaches, including predictive modeling and model fitting, preprocessing, feature selection, multivariate regression methods, self-modeling curve resolution methods (such as Multivariate Curve Resolution-Alternative Least Square (MCR-ALS) Evolving Factor Analysis, EFA, Positive Matrix Factorization, PMF), pattern recognition methods, artificial neural networks, machine learning, and experience working with large datasets including environmental data. Experienced also in supramolecular chemistry field, namely the methodology sensing based on change in the emission of analyzed compounds, molecular interactions studied in array-based assays and analytical skills by working with the various chemosensors. Show less

• Worked on various big data analysis tasks related primarily to air quality in Rochester, NY, and applied a variety of sophisticated mathematical data analysis techniques to large, complex data sets

• Modeling all recognized interactions in the complicated supramolecular systems with compatible measuring designs to get genuine thermodynamic parameters• Model-based analysis of coupled equilibrium-kinetic processes: indirect kinetic studies of thermodynamic parameters using the dynamic dataSupervisory Experience: Supervised two master students in the fields of • Coupling of soft-modeling methods with pattern recognition techniques for… Show more • Modeling all recognized interactions in the complicated supramolecular systems with compatible measuring designs to get genuine thermodynamic parameters• Model-based analysis of coupled equilibrium-kinetic processes: indirect kinetic studies of thermodynamic parameters using the dynamic dataSupervisory Experience: Supervised two master students in the fields of • Coupling of soft-modeling methods with pattern recognition techniques for the identification through feasible bands. • Modeling of buffer behavior in different conditions Show less

Ms-PhD student

• Qualitative and Semi-quantitative Analyses of Ribonucleotides and Inorganic Phosphates.• Quantitative Analysis of Deoxyribonucleotides and Pyrophosphate Mixtures• Agarose Gel Electrophoresis• Monitoring of polymerase chain reaction (PCR) processes by the new sensor and the new proposed approach• Qualitative and quantitative Analyses of ATP, AMP and Pyrophosphate mixtures by colorimetric method