Joan Ficapal Vila

Co-founder & CEO at Athena Tech
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Contact Information
us****@****om
(386) 825-5501
Location
Barcelona, Catalonia, Spain, ES
Languages
  • Catalan Native or bilingual proficiency
  • Spanish Native or bilingual proficiency
  • French Limited working proficiency
  • Italian Professional working proficiency
  • English Full professional proficiency

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Bio

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Experience

    • Spain
    • Software Development
    • 1 - 100 Employee
    • Co-founder & CEO
      • Dec 2021 - Present

      Athena Tech is a spin-off from Hospital Clínic de Barcelona specialized in developing artificial intelligence solutions and software. Our vision is to ensure that the biomedical sector is digitally prepared with the latest technology. We use our expertise to digitalize other companies’ processes and prepare them for authentic data-driven decision-making: - Data Management: Deploying easy-to-use systems to store, manage, visualize and annotate data and images for further consumption. - Automation and Artificial Intelligence: Offering expertise in the field of Artificial Intelligence, Machine Learning and Software Engineering to automate or enhance tasks. - Advanced Analytics: Creating interactive advanced analytics reports and dashboards for companies to better understand insights, shifting them into evidence-based ecosystems. Show less

    • Lead Data Scientist
      • Oct 2020 - Present

      Melanoma Unit, Dermatology Department. Funded Projects: - SERUMS: Securing Medical Data in Smart Patient-Centric Healthcare Sy stems, 2019 - 2022 H2020-EU - € 4 370 062,50 - QUALITOP: Monitoring multidimensional aspects of QUAlity of Life after cancer ImmunoTherapy H2020-EU - € 5 196 772,50 - Implementació de medicina personalitzada en melanoma maligne mitjantçant AI. Marató de TV3 - 300.000,00 € - iTOBOS: Intelligent Total Body Scanner for Early Detection of Melanoma H2020-EU - € 12 039 139,25 Initiatives and Workshops: - ISIC Consortium: AI Working Group - CVPR ISIC Workshop 2020, 2021 - MICCAI ISIC Challenge 2020 - EADV AI Task Force Leads Show less

    • Switzerland
    • Insurance
    • 700 & Above Employee
    • Data Scientist
      • Jun 2019 - Oct 2020

      I worked in Customer Segmentation, Information Retrieval, Automatic Narrative Generation, Topic Modelling and Topic Classification, Spread Forecasting and conducting training sessions. I worked in Customer Segmentation, Information Retrieval, Automatic Narrative Generation, Topic Modelling and Topic Classification, Spread Forecasting and conducting training sessions.

    • Sweden
    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2018 - Jun 2019

      I built a data science group in Barcelona for the Swedish settled company Gavagai. This included the hiring of the team and preparing the environment to work in the new city.My team worked on designing, developing and presenting to clients a framework to build A.I conversational agents. Our solution employed state of the art technologies in natural language processing, machine learning and deep learning.My team also built from scratch both the front-end and back-end of the web application. Show less

    • Data Scientist Intern
      • Jan 2018 - Jun 2018

      I did my master thesis on the topic of knowledge graphs. The work consisted of two parts, the first one was to explore the possibility to automatically populate a semantic graph from an ad hoc data set of 50 000 newspaper articles in a completely unsupervised manner. The second part explored the possibility to identify entity relationships in an unsupervised fashion by employing abstractive deep learning methods for sentence reformulation.

    • France
    • Telecommunications
    • 400 - 500 Employee
    • Internship
      • Jan 2016 - Aug 2016

      I worked designing and developing a distributed system in Python, able to identify BGP Hijacks in real time probing 10M targets from 400 vantage points per minute. I improved the previous benchmark decreasing by an average of 30 % the amount of vantage points needed using clustering methods. Supported by a Google faculty research award. I worked designing and developing a distributed system in Python, able to identify BGP Hijacks in real time probing 10M targets from 400 vantage points per minute. I improved the previous benchmark decreasing by an average of 30 % the amount of vantage points needed using clustering methods. Supported by a Google faculty research award.

Education

  • Politecnico di Milano
    Double Master's degree in Data Science
    2016 - 2018
  • KTH Royal Institute of Technology
    Double Master's degree in Data Science
    2016 - 2018
  • Universitat Politècnica de Catalunya
    Bachelor’s Degree, Telecommunications Engineering
    2012 - 2016

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