Joana Rosado Coelho is a lecturer in Industrial and Systems Engineering Department at RPI, where she teaches several courses on Probability and Statistics. Her primary interests are in Data Science, Machine Learning, Natural Language Processing, and Biomedical Engineering.
Joana has recently worked in the Industry, for the financial sector where she applied text mining and natural language processing tools for automatic information retrieval. Joana was also involved in a start-up company, leading both information technology and data analysis teams and supervising all the clinical and laboratory data of the company. Joana has also a broad past experience in the energy, biomedical, and healthcare sectors
Joana is a Ph.D. in Bioengineering from MIT-Portugal program and Instituto Superior Técnico, Lisbon, Portugal. In the past, she was a teaching assistant of Probability and Statistics for 3 years, while doing her Master in Biomedical Engineering.
At ISE, Joana is a Member of the Undergraduate Committee of Industrial and Systems Engineering Department and is working on the special committee for the Data Science and Engineering concentration.
B.Sc. in Biomedical Engineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal (2006)
Erasmus exchange student, Technische Universiteit Delft, Delft, Netherlands (2007)
M.Sc. in Biomedical Engineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal (2008)
Ph.D. in Bioengineering, MIT-Portugal Program, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal (2014)
Best Student Award in Biomedical Engineering at Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal (2007 and 2008)
First prize of the Best Students of the Technical University of Lisbon (now, University of Lisbon) (2009)
Nominated for the Best PhD Student of Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (2014)
1. Jean-Yves Maillard, Sally Bloomfield, Joana R. Coelho, Phillip Collier, Barry Cookson, Séamus Fanning, Andrew Hill, Philippe Hartemann, Andrew J. McBain, Marco Oggioni, Syed Sattar, Herbert P. Schweizer, and John Threlfall. Does microbicide use in consumer products promote antimicrobial resistance? A critical review and recommendations for a cohesive approach to risk assessment. Microbial drug resistance (Larchmont, N.Y.), (5): 344–54. ISSN 1931-8448. doi: 10.1089/mdr.2013.0039
2. Marco R. Oggioni, Leonardo Furi, Joana R. Coelho, Jean-Yves Maillard, and Jose L. Martinez. Recent advances in the potential interconnection between antimicrobial resistance to biocides and antibiotics. Expert Review of Anti-infective Therapy, 11(4):363–366, April 2013.
3. Joana R. Coelho, João A. Carriço, Daniel Knight, Jose-Luis Martínez, Ian Morrissey, Marco R. Oggioni, and Ana T. Freitas. The use of machine learning methodologies to analyse antibiotic and biocide susceptibility in Staphylococcus aureus. PloS ONE, (2): e55582, ISSN 1932-6203. doi: 10.1371/journal.pone.0055582, January 2013
4. Ian Morrissey, Marco R. Oggioni, Daniel Knight, Tânia Curião, Teresa Coque, Ayse Kalkanci, Jose L. Martínez, and the BIOHYPO Consortium (Joana Rosado Coelho). Evaluation of epidemiological cut-off values indicates that biocide resistant subpopulations are uncommon in natural isolates of clinically-relevant microorganisms. PloS ONE, 9(1):e86669, 2014
5. Marco R. Oggioni, Joana R. Coelho, Leonardo Furi, Daniel R. Knight, Carlo Viti, Graziella Orefici, Jose-Luis Martinez, Ana T. Freitas, Teresa M Coque, and Ian Morrissey. Significant differences characterise the correlation coefficients between biocide and antibiotic susceptibility profiles in Staphylococcus aureus. Current pharmaceutical design, 21 (16):2054–2057, March 2015.
6. Maria L. Ciusa, Leonardo Furi, Daniel Knight, Francesca Decorosi, Marco Fondi, CarlaRaggi, Joana R. Coelho, Lluis Aragones, Laura Moce, Pilar Visa, Ana T. Freitas, Lucilla Baldassarri, Renato Fani, Carlo Viti, Graziella Orefici, Jose L. Martinez, Ian Morrissey, and Marco R. Oggioni. A novel resistance mechanism to triclosan that suggests horizontal gene transfer and demonstrates a potential selective pressure for reduced biocide susceptibility in clinical strains of Staphylococcus aureus. International Journal of Antimicrobial Agents, (3):210–220, 2012