About Me

I am a PhD candidate in Computer Science at the Faculty of Sciences of the University of Lisbon (FCUL), conducting research at LASIGE. I am supervised by Dr. Catia Pesquita from FCUL.

Interested in Biomedical Artificial Intelligence. I am currently focusing on Explainable AI, researching the application of AI algorithms to explain their decisions and the implementation of AI-driven technologies in the healthcare sector. My goal is to contribute to developing ethical and transparent AI technologies. More specifically, I am working on making deep learning-based drug recommendations for cancer patients more easily understood by clinicians.

I have previously conducted research in Multi-domain knowledge graph embeddings and Machine Learning algorithms for gene-disease association prediction.

Currenty conducting research on Drug Repurposing Hypothesis Validation with Knowledge-infused Explanations .

For a more thorough and structured description of my work, you may check my CV.

Links: ⚭ ⚭ ⚭

Research Interests

I am interested in many topics beyond these and always look forward to collaborations. If you have a problem you would like to collaborate on, feel free to contact me.

• Explainable AI
• Machine Learning
• Deep Learning
• Semantic Similarity
• Knowledge Graphs and Ontologies
• Knowledge Graph Embeddings

Experience

Sony AI

Internship as Assistant AI Researcher at Sony AI, Barcelona, Spain.Joined a team aimed at various breakthroughs in AI research, including the application of AI in the scientific domain.

Teaching

Programming I, Faculty of Sciences of the University of Lisbon

Course focuses on programming fundamentals

Outsystems - UPskill programme, Faculty of Sciences of the University of Lisbon

Teaching Theoretical-Practical classes to students without a technological background. Teaching them coding skills that will enable them to work on application software on low-code development platforms.

Contact

You can contact me at: scnunes [at] ciencias.ulisboa.pt

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