Borana Dollomaja

PhD Candiate in Computational Neuroscience at INS - Institut de Neurosciences des Systèmes
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Contact Information
us****@****om
(386) 825-5501
Location
Marseille, Provence-Alpes-Côte d'Azur, France, FR
Languages
  • English Full professional proficiency
  • French Full professional proficiency
  • Italian Limited working proficiency
  • Spanish Professional working proficiency
  • Albanian Native or bilingual proficiency
  • German Elementary proficiency

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Credentials

  • Test of English for International Communication | Score 990/990
    TOEIC® Program
    Dec, 2018
    - Oct, 2024
  • HTML Certificate
    SoloLearn
    Jun, 2017
    - Oct, 2024
  • JavaScript Certificate
    SoloLearn
    May, 2017
    - Oct, 2024

Experience

  • INS - Institut de Neurosciences des Systèmes
    • France
    • Research Services
    • 1 - 100 Employee
    • PhD Candiate in Computational Neuroscience
      • Apr 2021 - Present

      Working on personalized whole-brain stimulation models for drug-resistant epilepsy diagnosis.

    • Research Engineer in Computational Neuroscience
      • Oct 2020 - Mar 2021

      Working with personalized whole-brain network models using ​The Virtual Brain​ platform. Studying stimulation as a therapeutic treatment in drug-resistant epilepsy by modeling stimulation dynamics in the brain using a pre-existing model called the ​Epileptor.​ Analyzing SEEG stimulation data from epileptic patients and working with the Virtual Epileptic Patient pipeline.

  • Dassault Systèmes
    • France
    • Software Development
    • 700 & Above Employee
    • Internship in Computational Neuroscience
      • Feb 2020 - Aug 2020

      Adaptive 3D brain parcellation using Python within a prototype that detects cortical areas where epileptic seizures initiate. The adaptive parcellation allowed for a finer and more precise detection of the epileptogenic regions. Work within the EPINOV project, one of 10 large-scale projects selected in the 3rd wave of the French scientific excellence (3​ds.com/stories/living-brain/)​ . Adaptive 3D brain parcellation using Python within a prototype that detects cortical areas where epileptic seizures initiate. The adaptive parcellation allowed for a finer and more precise detection of the epileptogenic regions. Work within the EPINOV project, one of 10 large-scale projects selected in the 3rd wave of the French scientific excellence (3​ds.com/stories/living-brain/)​ .

  • Capgemini
    • France
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Internship in Machine Learning
      • May 2019 - Aug 2019

      Implementing a predictive neural network in Java to determine the propagation of invasive species (the Asian hornet). Innovation project "MapMyWorld". • Finding solutions in order to maximize the training data for the deep learning model. • Regular presentations of the work to the team of 15 people during each 2-week sprint (Scrum methodology). Implementing a predictive neural network in Java to determine the propagation of invasive species (the Asian hornet). Innovation project "MapMyWorld". • Finding solutions in order to maximize the training data for the deep learning model. • Regular presentations of the work to the team of 15 people during each 2-week sprint (Scrum methodology).

  • Grenoble INP Alumni | Créateur de réseaux
    • France
    • Civic and Social Organizations
    • 1 - 100 Employee
    • Contact Agent
      • Oct 2018 - May 2019

      The Grenoble INP Alumni association represents and animates the network of students and graduates from Grenoble INP. The national polytechnic institute has more than 40000 graduates, engineers and PhD-s. Work consisted of updating the database of the official site, as well as keeping in touch with former students of Grenoble INP. The Grenoble INP Alumni association represents and animates the network of students and graduates from Grenoble INP. The national polytechnic institute has more than 40000 graduates, engineers and PhD-s. Work consisted of updating the database of the official site, as well as keeping in touch with former students of Grenoble INP.

  • Nsigma Junior-Entreprise
    • France
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Chargé d'affaires
      • Oct 2017 - Oct 2018

      Member of Nsigma, the Junior Enterprise of Ensimag, as Business Manager. Missions: project management, communicating with the clients and with all the members of Nsigma. Member of Nsigma, the Junior Enterprise of Ensimag, as Business Manager. Missions: project management, communicating with the clients and with all the members of Nsigma.

  • Université Grenoble Alpes
    • France
    • Higher Education
    • 700 & Above Employee
    • Informatics Tutor
      • Oct 2017 - May 2018

      Tutoring freshmen students. Missions: answering questions, explaining programming concepts in C, Python, Java etc. Tutoring freshmen students. Missions: answering questions, explaining programming concepts in C, Python, Java etc.

  • Inria
    • France
    • Research Services
    • 700 & Above Employee
    • Student Internship
      • Jun 2017 - Jul 2017

      Implementing new functionalities for the AUDE software (https://aude.imag.fr/). • Learned new programming languages ​​(AudeScript, JS) quickly and became familiar with the existing code before enriching it. • Development and implementation of algorithms for finite state automata. Implementing new functionalities for the AUDE software (https://aude.imag.fr/). • Learned new programming languages ​​(AudeScript, JS) quickly and became familiar with the existing code before enriching it. • Development and implementation of algorithms for finite state automata.

  • LIG - Grenoble Informatics Laboratory
    • Research Services
    • 1 - 100 Employee
    • Student Internship
      • May 2016 - May 2016

      Data analysis of simulations of search engine user profiles. Aiming to improve user’s experience of search engines. • Analysis and visualization of some features of a large amount of data by writing a program in C. • Creating a questionnaire and collecting answers to determine user profiles and analysis of a few hundred responses. • Communicating within an international team. Data analysis of simulations of search engine user profiles. Aiming to improve user’s experience of search engines. • Analysis and visualization of some features of a large amount of data by writing a program in C. • Creating a questionnaire and collecting answers to determine user profiles and analysis of a few hundred responses. • Communicating within an international team.

Education

  • National School of Computer Science and Applied Mathematics of Grenoble
    Engineer's degree, Mathematics and Computer Science
    2017 - 2020
  • Université Grenoble Alpes
    Bachelor's degree, Mathematics and Computer Science
    2015 - 2017
  • Qemal Stafa
    High School/Secondary Diploma Programs
    2012 - 2015

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