Matteo Pardo received a degree in physics in 1996, and a PhD in computer engineering in 2000. He was a researcher at the Italian National Research Council (CNR) from 2002–2011, where he worked on data analysis and pattern recognition for artificial olfaction and genomics. Between 2008–2010 he was based at the Max Planck Institute for Molecular Genetics in Berlin on a Von Humboldt fellowship for experienced researchers. Pardo held the position of technical chair at the International Symposium on Olfaction and Electronic Nose 2009. From 2011–2019 he was seconded at the Italian Embassy in Berlin as Scientific Attaché. There, he fostered bilateral relations in research and innovation by organizing joint workshops on a diverse array of topics such as smart cities, tech start-ups, European research infrastructures, geoscience, technology for cultural heritage, history of science; promoting memoranda of understanding between research organizations (e.g. between the Consiglio Nazionale delle Ricerche (CNR) and Fraunhofer Gesellschaft); and representing Italy in European boards (such as at the European Southern Observatory; and the trilateral agreement on Industry 4.0 between Italy, Germany, and France). He returned to the CNR in September 2019 in the international relations office, dealing with Germany and the EU.
Rother, Marion, Erik Gonzalez, Ana Rita Teixeira Da Costa, Lea Wask, Isabella Gravenstein, Matteo Pardo, Matthias Pietzke, Rajendra Kumar Gurumurthy, Jörg Angermann, Robert Laudeley, Silke Glage, Michael Meyer, Cindrilla Chumduri, Stefan Kempa, Klaus Dinkel, Anke Unger, Bert Klebl, Andreas Klos, and Thomas F. Meyer. “Combined Human Genome-wide RNAi and Metabolite Analyses Identify IMPDH as a Host-Directed Target against Chlamydia Infection.” Cell Host & Microbe 23, no. 5 (2018): 661–671.
Falasconi, Matteo, A. Gutierrez-Galvez, Matteo Pardo, Giorgio Sberveglieri, and Santiago Marco. “A stability based validity method for fuzzy clustering.” Pattern Recognition 43. (2010): 1292–1305.
Pardo, Matteo, and Giorgio Sberveglieri. “Random forests and nearest shrunken centroids for the classification of sensor array data.” Sensors and Actuators B-chemical 131. (2008): 93–99.
Pardo, M., L.G. Kwong, G. Sberveglieri, K. Brubaker, J.F. Schneider, W.R. Penrose, and J.R. Stetter. “Data analysis for a hybrid sensor array.” Sensors and Actuators B-chemical 106. (2005): 136–143.
Pardo, Matteo, and Giorgio Sberveglieri. “Classification of electronic nose data with support vector machines.” Sensors and Actuators B-chemical 107. (2005): 730–737.