Maddalena Balia

Clinical and scientific project manager at TheraPanacea

Maddalena Balia's work experience includes being a Clinical and Scientific Project Manager at TheraPanacea since April 2023. Prior to that, they worked as a Postdoctoral Researcher at Université de Bordeaux from March 2020 to November 2022. Before that, they were a Postdoctoral Fellow at King's College London from March 2017 to March 2020.

Maddalena Balia's education history is as follows:

Maddalena Balia attended DataScientest.com in 2022 to study Data Science, although no degree was obtained. Prior to that, from 2012 to 2016, they pursued a Doctor of Philosophy (PhD) degree in Neurosciences at Université Paris Cité. Before their doctoral studies, from 2010 to 2012, Maddalena Balia earned a Master's degree in Neuroscience from Paris-Sud University (Paris XI). Maddalena completed their Bachelor of Science (B.S.) degree in Biologie, général at Paris-Sud University (Paris XI) from 2007 to 2010.

Furthermore, Maddalena Balia has obtained multiple certifications in various data science-related subjects from DataScientest.com. These certifications include "Recurrent Neural Networks with Tensorflow" (obtained in January 2023), "Introduction to Convolutional Neural Networks with Keras" (obtained in December 2022), "TensorFlow" (obtained in December 2022), "Dense Neural Networks with Keras" (obtained in November 2022), "Machine learning with PySpark" (obtained in October 2022), "SQL for Data Science" (obtained in October 2022), "Text Mining" (obtained in August 2022), "Dimensionality reduction" (obtained in July 2022), "Time Series Analysis" (obtained in July 2022), "Clustering" (obtained in June 2022), "Regression" (obtained in June 2022), "Advanced Machine learning with Scikit-learn" (obtained in May 2022), "Machine learning with Scikit-learn" (obtained in May 2022), "Data-visualization with Matplotlib" (obtained in April 2022), "Data-visualization with Seaborn" (obtained in April 2022), "Exploratory statistics for data analysis" (obtained in March 2022), and "Introduction to Python for data-science" (obtained in March 2022).

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