Mariaclaudia Nicolai

Pharmacist passionate about technology

About Me

I am an authentic, spontaneous, and sensitive person with excellent communication skills; critical observation has characterized my education and my working career. Curiosity and initiative have driven me away from home on many occasions, first for the University and then to the Netherlands for a research experience. These paths have made me aware of having great flexibility and adapting to different environments, including multicultural ones. Working in the lab confirmed my strong sense of responsibility and my organization, as well as the pleasure of working as a team, managing and matching each activity against available resources. I invest myself each day to improve what I do, with passion and energy, in work, and in my free time.


Research assistant

  • Application of language models used in Natural Language Processing (NLP) to find machine learning-based solutions by developing tools for microscopy data analysis for the IMMUNEMAP project.

Università della Svizzera italiana (USI), Switzerland

Research trainee

  • Evaluation of the resistance mechanism to venetoclax as a consequence of mutations in the regulators of apoptosis BCL2. The research was conducted by studying the binding affinity of the BCL-2 protein family and its inhibitor venetoclax by analyzing protein structure with PyMol and the binding by performing molecular dynamics simulations with Amber.
  • Prediction of new mutations of the SARS-CoV-2 spike protein. The research was conducted by analyzing virus structure with PyMol and creating a database of the amino acid sequences of the spike protein from data published on GISAID to train the artificial neural network LSTM and predict new mutations.
  • Prediction of T cell receptor (TCR) and antigen binding. The research was conducted by training deep learning BERT and GPT2 models based on the transformer architecture. Models were trained by leveraging either TCR-antigen known or unknown binding specificity amino acid sequences by applying either transfer learning or self-supervised learning.

Institute for Research in Biomedicine (IRB), Università della Svizzera italiana (USI), Switzerland

Research visiting

Paper: Healthcare Android Apps: A Tale of the Customers’ Perspective

  • Delft University of Technology (TU Delft)\newline Delft, The Netherlands}} {Investigate the role of user feedback on Android healthcare applications. The research was conducted by analyzing user reviews to classify the comments left for healthcare and non-healthcare apps and by applying the sentiment analysis on these reviews to assess the sentiment between healthcare and non-healthcare apps. Findings from the research presented at the international conference in Tallinn, Estonia.

Delft University of Technology (TU Delft), Delft, The Netherlands


  • Managing and promoting the activities on social media. Daily cooperation with the manager, creative presentation of new content, handling customer requests.

Foodie Lab, Naples, Italy

Educational intern

  • Practice ethical and deontological aspects of the profession of pharmacist. Managing health products. Educating consumers about health prevention and medication usage.

Farmacia Dr. Italiano, Benevento, Italy

Quality control operator

  • Collaboration with a research organization responsible for monitoring environmental noise. Testing of electronic devices with precision digital equipment.

Bruitparif, Paris, France


Co-founder of the LP Systems B.V.

Company details: LPSystems B.V. designs low-cost professional audio broadcasting equipment

Delft, The Netherlands

Scholarships and Awards


Scholarship and housing services at the University Residences provided by the University of Salerno.

University of Salerno, Italy

Master's degree in Pharmacy


Master’s thesis focused on the impact of artificial intelligence on predicting the activity of antimicrobial peptides and provided models to support the discovery of new peptides. Using computational methods proved a valuable strategy to support the development of novel drugs. The machine learning algorithm applied was from Weka and GMDH Shell software which provided regression tools used for the training.

University of Salerno, Italy

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