Meet the team

  • Deng Pan

    Lucy Family Institute for Data & Society
    Postdoctoral Fellow

  • Anna Sokol

    University of Notre Dame
    PhD, Computer Science and Engineering

  • Brenda Nogueira

    University of Notre Dame
    PhD, Computer Science and Engineering

  • Carolina Cardoso Trindade

    University of Porto
    PhD, Computer Science

  • Doheon Han

    University of Notre Dame
    PhD, Computer Science and Engineering

  • Grigorii Khvatskii

    University of Notre Dame
    PhD, Computer Science and Engineering

  • Joe Germino

    University of Notre Dame
    PhD, Computer Science and Engineering

  • Noor Ullah Khan

    University of Porto
    PhD, Computer Science

  • Nuno Costa

    University of Porto
    PhD, Computer Science

  • Tânia Carvalho

    University of Porto
    PhD, Computer Science

  • John Kim

    University of Notre Dame
    Undergraduate, Computer Science and Engineering

Alumni

Nuno Moniz has been fortunate to be an advisor to over 20 students at the undergraduate and graduate levels in Portugal and the USA. Seeing them successfully launch their careers in top-tier organizations such as VISA, Verizon, Deloitte, Ford, Walmart, and Amazon has been incredibly fulfilling.

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Boosting the Predictions of Extreme Values

  • Degree: Master's in Engineering and Data Science, University of Porto (Portugal)

    Thesis: Data Preprocessing Strategies in Cancer Stage Prediction

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Prediction of Australian Dividends

  • Degree: Master's in Data Science, University of Porto (Portugal)

    Thesis: Quantification of Biomarker Concentration in Drug Discovery

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Optimizing call-center operations with Reinforcement Learning

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Early Detection of Billing Errors

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Payment Default Prediction

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Anticipation of Perturbances in Telco Services

  • Degree: Master's in Computer Science, University of Porto (Portugal)

    Thesis: Deep Learning Approach to Costumer Feedback Understanding

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: The Challenge of Privacy in Assessment Data

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: The Challenge of Privacy in Assessment Data

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: The Challenge of Privacy in Assessment Data

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: The Challenge of Privacy in Assessment Data

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Real-time Audits of AI Systems in Health

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Real-time Audits of AI Systems in Health

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Real-time Audits of AI Systems in Health

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Real-time Audits of AI Systems in Health

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Real-time Audits of AI Systems in Health

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Early Warning Signals for Epidemic Tipping Points

  • Degree: Major in Computing and Applied Mathematics, University of Notre Dame (USA)

    Thesis: Early Warning Signals for Epidemic Tipping Points

  • Degree: Major in Computer Science, University of Notre Dame (USA)

    Thesis: Early Warning Signals for Epidemic Tipping Points

  • Degree: Major in Computing and Applied Mathematics, University of Notre Dame (USA)

    Thesis: Early Warning Signals for Epidemic Tipping Points