Symeon Savvopoulos

Experience

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  CPERI-CERTH

  Jul 2011 - Sept 2011

  Intern

  Highlights: ▪ Simulation of a third-staged reverse osmosis desalination plant.▪ Understanding desalination process in pilot plants.▪ Collecting data for model validation.▪ Optimization by using alternative energy sources with HOMMER.

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  Imperial College London

  Sept 2013 - Dec 2013

  Early Stage Researcher

  Reviewed cell cycle kinetics and the effect of Chronic Lymphocytic Leukemia (CLL) in hematopoiesis for developing a mathematical model. Achievements: ▪ Gained significant knowledge of MATLAB, Gproms, and Minitab programme.▪ Attended optional courses focused on dynamical systems, optimisation and biochemistry.

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  Imperial College London

  Mar 2014 - Mar 2018

  Ph.D. Candidate

  Utilised MATLAB and gPROMS to develop multi-compartmental models for capturing the disease progression of both Acute Myeloid Leukemia (AML) and Chronic Lymphocytic Leukemia (CLL). Evaluated parameters for personalised treatment by incorporating pharmacokinetics and pharmacodynamics, and physiologically based pharmacokinetic modelling of the diseases' standard protocols. Achievement: ▪ Captured disease progression mathematically in semi-hypothetical patients.

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  KU Leuven

  Mar 2018 - Aug 2020

  Research Associate

  Achievements: ▪ Developed mathematical models for analysis and system validation in MATLAB and gPROMS.▪ Formulated and published a model for ultrasound continuous crystallisation in just a year (AIChE 2019).Key Responsibilities:▪ Undertook mathematical modeling studies focused on crystal growth. Scope of work included designing and executing anti-solvent crystallization experiments in continuous microfluidic reactors to gather experimental data for analysis and validation.▪ Devised comprehensive Computational Fluid Dynamics (CFD) models. These models were to be utilized to simulate and analyze the scaling up process of continuous crystallizers in COMSOL, with the goal of optimizing and improving the efficiency of the crystallization process.▪ Performed analysis of the experimental data obtained from the anti-solvent crystallization experiments and interpreting the results in order to draw meaningful conclusions and make recommendations for further research and development. Show less

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  Hellenic Army

  Aug 2020 - Jan 2021

  Army
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  Khalifa University

  Sept 2021 - now

  Postdoctoral Research Fellow

  Key Responsibilities:▪ Working on developing algorithms for machine learning applications, with a focus on statistical models such as regression and feature selection. Using languages such as Python and MATLAB to implement and optimize these algorithms for efficient data analysis and prediction.▪ Applying mathematical modeling and machine learning techniques to various biochemical processes. Analyzing large datasets, developing predictive models, and identifying relevant features and variables for improved understanding and optimization of biochemical processes.▪ Managing a schedule comprising of 80% research and 20% academic activities such as delivering and conducting seminars, lectures, tutorials and participating in educational activities such as invigilation, evaluation of the student’s seminar. Show less