Personal profile
Personal profile
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.
Education/Academic qualification
Integrated Masters in Bioengineering, Universidade do Porto
16 Sept 2015 → 16 Oct 2020
Award Date: 16 Oct 2020
Artificial Intelligence Expert
- Deep Learning
- Traditional Machine Learning
- Computer Vision
- Health and Well-being
- Ethical Dimensions of AI
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Research output
- 10 Article
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A Novel Microfluidic System for 3D Epidermis and Full‐Thickness Skin Growth for Nanoparticle Safety Assessment
Costa, S., Carneiro, A. B., Lebre, F., Meneses, J., Ainla, A., Moura, C., Alfaro‐Moreno, E. & Ribeiro, A. R., 9 Feb 2026, In: Advanced healthcare materials. 15, 6, e02518.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Sex-stratified osteochondral organ-on-chip model reveals sex-specific responses to inflammatory stimulation
Pereira Dos Santos Conceição, F., Meneses, J., Lebre, F., Becker, M., Araújo-Gomes, N., Vos, R., Ribeiro, A. R., Alfaro-Moreno, E., Leijten, J. & Moreira Teixeira, L., Jun 2025, In: Materials Today Bio. 32, 13 p., 101728.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)29 Downloads (Pure) -
Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization
Meneses, J., Conceição, F., van der Meer, A. D., de Wit, S. & Moreira Teixeira, L., 15 May 2024, In: Frontiers in Lab on a Chip Technologies. 3, 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile75 Downloads (Pure) -
The system of self-consistent models based on quasi-SMILES as a tool to predict the potential of nano-inhibitors of human lung carcinoma cell line A549 for different experimental conditions
Toropova, A. P., Meneses, J., Alfaro-Moreno, E. & Toropov, A. A., 3 May 2024, In: Drug and Chemical Toxicology. 47, 3, p. 306-313 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile11 Link opens in a new tab Citations (Scopus)34 Downloads (Pure) -
3D Printed Magneto-Active Microfiber Scaffolds for Remote Stimulation and Guided Organization of 3D In Vitro Skeletal Muscle Models
Cedillo-Servin, G., Dahri, O., Meneses, J., van Duijn, J., Moon, H., Sage, F., Silva, J., Pereira, A., Magalhães, F. D., Malda, J., Geijsen, N., Pinto, A. M. & Castilho, M., 10 Nov 2023, In: Small.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile25 Link opens in a new tab Citations (Scopus)23 Downloads (Pure)
Datasets
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Additional file 1 of A Nano-QSTR model to predict nano-cytotoxicity: an approach using human lung cells data
Meneses, J. (Creator), González-Durruthy, M. (Creator), Fernandez-de-Gortari, E. (Creator), Toropova, A. P. (Creator), Toropov, A. A. (Creator) & Alfaro-Moreno, E. (Creator), figshare, 22 May 2023
DOI: 10.6084/m9.figshare.23036014
Dataset