Data Scientist
Pfizer
Total des années d'expérience :12 years, 10 Mois
Develop & expand enterprise data science platform globally optimizing various processes. ML & AI consulting to various business units - Pharma
KW: R, Matlab, Python, VB, ML, Time-series Analysis, Statistica, SIMCA, Spotfire
Biomarker research for ALS based neurophysiological data. Applied novel modeling algorithms to investigate MND - Bioengineering/Academics
KW: R, Matlab, Bayesian inference, Dynamic system modeling, Graph & Network theory, EEG
Publication: Functional Connectivity Measured By sEEG As Biomarker For ALS
Biomarker research for PAH based on cardiovascular data - Bioengineering/Academics KW: Machine learning algorithms, Matlab, Paediatric Cardiology.
Supported publication: Haemodynamic parameters are PAH predictors of survival
Taught multiple Calculus, Statistics, Physics and Biology courses to Biomedical Science, Bioengineering students and high school scholars. - Lecturing/Academics
Modeling the course of cancer growth and predicting drug response based on MRI data - Bioengineering/Academics
KW: Matlab, Fluid mechanics, MRI, Oncology, Pharmacokinetic modeling, Fourier Analysis Supported publication: Algorithm Development & Optimization for DCE-MRI PK Modeling
Modeling state-of-art solar cells and modules.
KW: C++, Matlab, Differential equations modeling, Signal Analysis, Quantum physics
Database development & management
M.Sc. in Biomedical Engineering Supported publication: Functional Connectivity Measured By sEEG As Biomarker For ALS
M.Sc. in Biomedical Engineering Supported publication: Functional Connectivity Measured By sEEG As Biomarker For ALS
M.Sc. & B.Sc. in Computer Science and Information Technology Supported publication: Haemodynamic parameters are PAH predictors of survival