Dr. Stefano Cassani was born in Busto Arsizio (Italy). He obtained the Bachelor degree in Biological Sciences in 2008, under the supervision of Prof. Gramatica and Dr. Papa with a thesis on “Atmospheric degradation QSAR modeling of Volatile Organic Compounds”.

He graduated cum laude (Master degree in Biological Sciences) in 2010 with a thesis on “QSAR modeling for toxicity and ecotoxicity of (Benzo)Triazoles, a class of emerging pollutants”, always under the supervision of Prof. Gramatica and Dr. Papa.

He is at present in collaboration with QSAR Research Unit in Environmental Chemistry and Ecotoxicology (DiSTA - University of Insubria – Varese) on same topic and since February 2011 he is working in the same group with a fellowship of the European Project FP7-ENV-2007-1 CADASTER.

He is the author or co-author of 7 publications in international scientific peer-reviewed journals and 19 scientific poster and oral contributions to national (SCI – Italian Chemical Society, SETAC Italian Branch, Ecomondo) and international meetings (SETAC, Conferentia Chemometrica, CADASTER workshop) in the field of QSAR and environmental chemistry.

He is member of the Italian Chemical Society (SCI) since 2010.

 

List of publications in peer-reviewed journals (2012-2014)

 

1. P.Gramatica, S.Cassani, P.P.Roy, S.Kovarich, C.W. Yap, E.Papa, 2012. “QSAR Modeling is not “Push a button and find a correlation”: a case study of toxicity ob (Benzo)-triazoles on Algae.”, Molecular Informatics, 31, 817-835.

 

2. S.Cassani, S.Kovarich, E.Papa, P.P. Roy, L. van der Wal, P.Gramatica, 2013. “Daphnia and fish toxicity of (benzo)triazoles: validated QSAR models and interspecies quantitative activity-activity modeling”, Journal of Hazardous Materials, 258-259, 50-60.

 

3. S.Cassani, S.Kovarich, E.Papa, P.P. Roy, M.Rahmberg, S.Nilsson, U.Sahlin, N.Jeliazkova, N.Kochev, O.Pukalov, I.V. Tetko, S. Brandmaier, M. Kos Durjava, B.Kolar, W.Peijnenburg, P. Gramatica, 2013. “Evaluation of CADASTER QSAR models for aquatic toxicity of (benzo-)triazoles and prioritization by consensus.”, ATLA, 41, 49-64.

 

4. P.Gramatica, N. Chirico, E. Papa, S.Cassani, S.Kovarich. 2013. “QSARINS: A new software for the development, analysis and validation of QSAR MLR models”, Journal of Computational Chemistry (Software News and Updates), 34 (24), 2121-2132

 

5. S.Brandmaier, W. Peijnenburg, M. Kos Durjava, B. Kolar, P. Gramatica, E. Papa, B. Bhhatarai, S.Kovarich, S. Cassani, E. D’Onofrio, M. Rahmberg, T. Öberg, N. Jeliazkova, L. Golsteijn, M. Comber, S. Novotarskyi, I. Sushko, P. Kunwar, A. Abdelaziz, I. V. Tetko. 2013. “The QSPR-Thesaurus: The online platform of the CADASTER project“, submitted to ATLA, accepted.

 

6. L.Golsteijn, M Sarfraz Iqbal, S.Cassani, Harrie W.M. Hendriks, S.Kovarich, E.Papa, E.Rorije, U.Sahlin, Mark A.J. Huijbregts, 2014. “Assessing predictive uncertainty in comparative toxicity potentials of triazoles”, Environmental Toxicology and Chemistry, 33(2), 293-301.

 

7. P. Gramatica, S.Cassani, N.Chirico, 2014. “Insubria Datasets and New QSAR/QSPR Models for Environmental Pollutants in QSARINS”, submitted to Journal of Computational Chemistry (Software News and Updates).

 

Acknowledged in E.Papa, P.Gramatica, 2008. “Externally validated QSPR modelling of VOC tropospheric oxidation by NO3 radicals”, SAR and QSAR in Environmental Research, 19:7, 655-668.

 

Acknowledged in P.P. Roy, S.Kovarich, P. Gramatica, 2011. “QSAR Model reproducibility and applicability: A case study of rate constants of Hydroxyl radical reaction models applied to Polybrominated Diphenyl Ethers and (Benzo)Triazoles”. Journal of Computational Chemistry, 32, 2386-2396.

 

Acknowledged in N.Chirico, P.Gramatica, 2012. “Real external predictivity of QSAR models. Part 2. New intercomparable thresholds for different validaiton criteria and the need for scatter plot inspection”, Journal of Chemical Information and Modeling, 52, 2044-2058.

 

Acknowledged in L. Golsteijn, R.van Zelm, A.J. Hendriks, M.A.J. Huijbregts, 2013 “Statistical uncertainty in hazardous terrestrial concentrations estimated with aquatic ecotoxicity data”, Chemosphere, 93, 366-372.