João Meneses graduated with an Integrated Master's in Bioengineering with a specialization in Biomedical Engineering from the Faculty of Engineering of the University of Porto (FEUP, Portugal), in collaboration with the Biomedical Sciences Institute of Abel Salazar (ICBAS, Portugal) in October 2020. His master's thesis was developed in collaboration with the University Medical Center Utrecht (UMC, The Netherlands) and was entitled "3D Printing of Polycaprolactone/Graphene-based Materials Scaffolds for Tissue Engineering". From March 2021 until August 2023, he worked as a Junior Research Fellow at the International Iberian Nanotechnology Laboratory (INL, Portugal) in the Nanosafety Research Group. The work focused on developing computational methods to achieve Safe-and-Sustainable advanced nanomaterials (NMs). To this aim, he took advantage of (i) supervised and (ii) unsupervised machine learning (ML) algorithms, (iii) quantitative structure-activity relationships (QSAR), and (iv) quantitative structure-property relationships (QSPR) models. Overall, the work paved the way for efficient decision-making, prediction, and mitigation of the potential occupational and environmental risks of NMs. Moreover, he performed a secondment at IBM Research Europe (Zurich, Switzerland). The work focused on integrating an AI-assisted microcontroller-based chemical sensor with blockchain. Such a secondment allowed him to continue developing skills in developing interpretable and interoperable ML algorithms and gain knowledge on electrochemical sensors and blockchain technology. Since September 2023, he started as a PhD candidate at the University of Twente (Dep. of Advanced Organ Bioengineering and Therapeutics, The Netherlands) to work on (i) Organs-on-chips, (ii) high-content data analysis, and (iii) AI.
Organisations
Publications
2024
2023
2022
2020
Research profiles
In the press
- A novel Machine Learning model to predict the toxicity of nanomaterials: an approach using human lung cells data (https://inl.int/inl-researchers-develop-a-new-model-to-predict-toxicity-of-nanomaterials/)
Address
University of Twente
Horst - Zuidhorst (building no. 28)
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst - Zuidhorst
P.O. Box 217
7500 AE Enschede
Netherlands
Organisations
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