Curriculum Vitae – Lucia Sacchi Personal Information Lucia Sacchi ...

Personal Information
Curriculum Vitae – Lucia Sacchi
Lucia Sacchi is assistant professor at the Department of Computer Engineering and System Science at
the University of Pavia. She’s got a Master Degree in Computer Engineering and a PhD in
Bioengineering and Bioinformatics both taken at the University of Pavia.
From February 2007 to September 2010 she had worked as research fellow at the Department of
Computer Engineering and Systems Science of the University of Pavia on a FIRB project funded by
the Italian Ministry of University and Research. From October 2010 to December 2011 she has
worked as a senior research fellow at the School of Information Systems, Computing and
Mathematics at Brunel University (London) on an EPSRC project on data integrity and intelligent data
analysis applied to a glaucoma progression dataset, in collaboration with the Moorfields Eye Hospital
in London.
Research Interests
Her research interests are mainly focused on Temporal Data Mining. She has been working on
qualitative modeling of time series through Temporal Abstractions and on the extraction of frequent
complex temporal patterns from biomedical datasets. Moreover, she has been working on the
impact of quality indicators in predicting glaucoma progression. The algorithms she has developed
have been applied both to clinical data mining and bioinformatics. Recently, she has started working
on clinical decision support systems and guidelines formalization within the EU funded project
"MobiGuide - Guiding Patients Anytime Everywhere" (FP7-287811).
Teaching Activity
Since 2012 she is in charge of the Artificial Intelligence Module for the Bioengineering Master's
degree at the University of Pavia. From 2004 to 2010 she has been teaching assistant for the
modules of Medical Informatics, Machine Learning and Probabilistic Modelling in Medicine for the
Biomedical Engineering Master's and Bachelor Degree at the University of Pavia.
Reviewer Activity and Scientific Events Organization
In 2009 and in 2012 she has been co-chairing the Workshop on Intelligent Data analysis in
bioMedicine and Pharmacology (IDAMAP). Since 2009 she is a member of the Program Committee of
the Conference on Artificial Intelligence in Medicine (AIME). She serves as a reviewer for several ISI
(Journals Methods of Information in Medicine, Journal of Biomedical Informatics, IEEE Transactions
on Computational Biology and Bioinformatics, Information Sciences and IEEE Transactions on
Information Technology in Biomedicine) and several international conferences (AIME, MEDINFO,
AMIA, MIE).
Selected publications
She has co-authored about 50 papers on international journals and international conferences.
1. Cremaschi P, Rovida S, Sacchi L, Lisa A, Calvi F, Montecucco A, Biamonti G, Sacchi G.
CorrelaGenes: a new tool for the interpretation of the human transcriptome. Accepted for
publication in BMC Bioinformatics, 2013.
2. Vigone G, Merico V, Prigione A, Mulas F, Sacchi L, Gabetta M, Bellazzi R, Redi CA, Mazzini G,
Adjaye J, Garagna S, Zuccotti M. Transcriptome based identification of mouse cumulus cell
markers that predict the developmental competence of their enclosed antral oocytes. BMC
Genomics. 2013 Jun 7;14:380
3. Mulas F, Sacchi L, Zagar L, Garagna S, Zuccotti M, Zupan B, Bellazzi R. Knowledge-based
bioinformatics for the study of mammalian oocytes. Int J Dev Biol. 2012;56(10-12):859-66.
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4. Porta C, Paglino C, Imarisio I, Ganini C, Sacchi L, Quaglini S, Giunta V, De Amici M. Changes in
circulating pro-angiogenic cytokines, other than VEGF, before progression to sunitinib therapy in
advanced renal cell carcinoma patients. Oncology. 2013;84(2):115-22
5. Zuccotti M, Merico V, Belli M, Mulas F, Sacchi L, Zupan B, Redi CA, Prigione A, Adjaye J, Bellazzi
R, Garagna S. OCT4 and the acquisition of oocyte developmental competence during
folliculogenesis. Int J Dev Biol. 2012;56(10-12):853-8.
6. Bellazzi R, Sacchi L, Caffi E, de Vincenzi A, Nai M, Manicone F, Larizza C, Bellazzi R.
Implementation of an automated system for monitoring adherence to hemodialysis treatment: a
report of seven years of experience. Int J Med Inform. 2012 May;81(5):320-31
7. M. Zuccotti, V. Merico, M. Bellone, F. Mulas, L. Sacchi, P. Rebuzzini, A. Prigione, C. Redi, R.
Bellazzi, J. Adjaye, S. Garagna. Gatekeeper of pluripotency: A common Oct4 transcriptional
network operates in mouse eggs and embryonic stem cells. BMC Genomics. 2011 Jul 5;12:1-13
8. T. Neri, V. Merico, F. Fiordaliso, M. Salio, P. Rebuzzini, L. Sacchi, R. Bellazzi, C.A. Redi, M.
Zuccotti, S. Garagna. The differentiation of cardiomyocytes from mouse embryonic stem cells is
altered by dioxin. Toxicol Lett. 2011 May 10;202(3):226-36.
9. G. D'Ancona, F. Bertuzzi, L. Sacchi, F. Pirone, V. Stringi, A. Arcadipane, R. Bellazzi, M. Pilato.
Iatrogenic hypoglycemia secondary to tight glucose control is an independent determinant for
mortality and cardiac morbidity. Eur J Cardiothorac Surg. 2011 Aug;40(2):360-6.
10. R. Bellazzi, F. Ferrazzi, L. Sacchi. Predictive data mining in clinical medicine. WIRES Data Mining
and Knowledge Discovery, Feb 2011, 1-15.
11. S. Concaro, L. Sacchi, C. Cerra, R. Bellazzi. Mining health care administrative data with Temporal
Association Rules on hybrid events. Methods Inf Med. 2011;50(2):166-79.
12. C. Porta, C. Paglino, M. De Amici, S. Quaglini, L. Sacchi, I. Imarisio, C. Canipari. Predictive value of
baseline serum vascular endothelial growth factor and neutrophil gelatinase-associated lipocalin
in advanced kidney cancer patients receiving sunitinib. Kidney Int. 2010 May;77(9):809-15.
13. M. Zuccotti, V. Merico, L. Sacchi, M. Bellone, T. Brink, C.A. Redi, R. Bellazzi, J. Adjaie. Oct-4
regulates the expression of Stella and Foxj2 at the Nanog locus: implications for the
developmental competence in mouse oocytes. Hum Reprod. 2009 Sep 24(9):2225-37.
14. M. Zuccotti, V. Merico, L. Sacchi, M. Bellone, T.C. Brink, R. Bellazzi, M. Stefanelli,C.A. Redi, S.
Garagna, J. Adjaye. Maternal Oct-4 is a potential key regulator of the developmental
competence of mouse oocytes. BMC Dev Biol. 2008 Oct 6;8:97.
15. P. Magni, F. Ferrazzi, L. Sacchi, R. Bellazzi. TimeClust: a clustering tool for gene expression time
series. Bioinformatics. 2008 Feb 1; 24(3): 430 - 432.
16. L. Sacchi, C. Larizza, P. Magni, R. Bellazzi. Precedence Temporal Networks to represent temporal
relationships in gene expression data. Journal of Biomedical Informatics. 2007 Dec; 40(6): 761-
774.
17. L. Sacchi, C. Larizza, C. Combi, R. Bellazzi. Data Mining with temporal abstractions: learning rules
from time series. Data Mining and Knowledge Discovery. 2007, 15(2): 217-247.
18. M. Verduijn, L. Sacchi, N. Peek, R. Bellazzi, E. de Jonge, B. AJM de Mol. Temporal abstraction for
feature extraction: A comparative case study in prediction from intensive care monitoring data.
Artif Intell Med. 2007 Sep; 41(1): 1 – 12.
19. F. Ferrazzi, P. Magni, L. Sacchi, A. Nuzzo, U. Petrovic, R. Bellazzi. Inferring gene regulatory
networks by integrating static and dynamic data. International Journal of Medical Informatics.
2007, Dec; 76 Suppl 3: S462 – 475.
20. L. Sacchi, R. Bellazzi, C. Larizza, P. Magni, T. Curk, U. Petrovic, B. Zupan. TA-clustering: Cluster
analysis of gene expression profiles through Temporal Abstractions. Int J Med Inform. 2005 Aug;
74(7-8): 505 – 517.
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