Cutillo, Luisa - University of Sheffield - Department of Neuroscience

个人简介

My research experience started in Computer Science at the time of my graduation in Mathematics. Then I moved to the Applied Statistics pursuing my PhD. During this time I had the opportunity to be visiting student at the Georgia Institute of Technology and to participate to many European schools and conferences. After my PhD, I switched to the field of Bioinformatics visiting the University of Cambridge, within a short term EMBO fellowship. Soon after, I became member of the Bioinformatics Core of the Telethon Institute of Genetics and Medicine in Naples. As last relevant step of my career I gained a position as assistant professor at the University of Naples Parthenope, at the faculty of Economics. I am now taking the opportunity to build on this multidisciplinary background and apply my skills to a project with potential for translation. I was indeed recently awarded a prestigious Marie S. Curie Fellowship that I am carrying out in the research group of Professor Neil Lawrence, embedded in a truly multidisciplinary environment at the University of Sheffield at SITraN. During my undergraduate research project at the department of Mathematics of Seconda Università degli Studi di Napoli, I studied algorithms for testing and managing Parallel Architectures. In particular my thesis was carried out during an internship at the Centro di Ricerche per il Calcolo Parallelo ed i Super calcolatori, within the National Research Council (CNR). During this period I focused my research on the management and testing of Beowulf Parallel Architectures. After my graduation, I shifted my attention to Classification methodologies and I was awarded a grant on “methods and algorithms for multispectral images”, at the Istituto per le Applicazioni del calcolo “MauroPicone” (IAC) within CNR. Throughout this research I learned the basics principles of statistical classification methods, interacting with experts in this field at the CNR. Subsequently I was enrolled in the Scienze Computazionali ed Informatiche PhD program at the University of Naples Federico II. My PhD work was achieved within an active collaboration with the IAC in Naples, under the supervision of Dr Umberto Amato and Dr Claudia Angelini. During this period I was introduced the real data analysis field, ranging from environmental to biomedical applications. Moreover I developed a deep interest on biological microarrays data analysis, motivated by a fruitful collaboration with the Telethon Institute of Genetic and Medicine (TIGEM) and the Policlinico hospital of Naples, where the biological experiments were carried out. The last part of my PhDproject was explicated during a visiting period at the Georgia Institute of Technology (GATECH), in Atlanta, U.S.A. under the supervision of Professor BraniVidakovic. During this period I learned to handle high frequency data via Wavelets, Multi-scale Statistical Modelling and Denoising. This interdisciplinary training highlighted to me the importance to integrate different scientific areas of knowledge. In this light, after my PhD I accepted a fellowship at the IAC-CNR whereI joined the project “Sviluppo di metodi di classificazione per iltelerilevamento– Web AGRIcolo per il Telerilevamento WAGRIT” aimed at developing classification methodologies for remote sensing data. At the same time I was awarded a European Molecular Biology Organization (EMBO) Short term fellowship at the Computer Laboratory of the Cambridge University, UK, where I focused on developing variationalbayesian methods for multiple experiments identification of regulatory motifs, under the supervision of Dr Pietro Liò. After these intense scientific collaborations, I was hired by the TIGEM as statistician responsible for the Bioinformatics core, under the supervision of Dr Diego di Bernardo. TIGEM mission is to understand the mechanism of genetic diseases with the aim of developing preventive and therapeutic strategies. During my exciting and lasting role at the Bioinformatics core, I was involved in many cutting edge bioinformatics projects and had the opportunity to work with world top researchers in the field of bioinformatics and biomedicine. It has been during this period that I had enlightening scientific discussions with Professor Neil Lawrence, visiting TIGEM yearly. During our meetings he provided me with brilliant effective solutions to the detection of genes reacting to a perturbation over time. Moreover,I had the occasion to share with Professor Lawrence his deep knowledge on Gaussian Processes, hence my current MSC project was inspired. In the last part of my career I obtained a joint position as Assistant Professor (“Ricercatore”) at the University Parthenope of Naples. This gave me the chance to strongly improve my teaching skill and to start new collaborations in the field of mathematics and statistics applied to economy and finance. This interdisciplinary network of collaborations enabled me to transversely apply theoretical methodologies to distinct categories of real data and to publish my works in distinct scientific areas.

研究领域

My research interests are time series analysis, count data modelling, clustering methods and multiple hypothesis testing procedures. More in general I use to work in the areas of biostatistics and bioinformatics. In particular I am focusing on analysing and modelling RNA-seq data either from bulk or single cell biological experiments.

近期论文

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Pinelli, M; Carissimo, A; Cutillo, L; Lai, C-H; Mutarelli, M; Moretti, M; Veer Singh, M; Karali, M; Carrella, D; Pizzo, M; Russo, F; Ferrari, S,; Ponzin, D; Angelini, C; Banfi, S; Di Bernardo, D. (2016) An atlas of gene expression and gene co-regulation in the human retina. Carfora MF, Cutillo L, Orlando A (2014). Modeling the European Central Bank Official Rate: A Stochastic Approach. Journal of Applied Quantitative Methods. V.9, N.3. Cutillo L, De Feis I, Nikolaidou C, Sapatinas T (2014).Wavelet density estimation for weighted data. Journal of Statistical Planning and Inference 146, 1-19. Carrella D, Napolitano F, Rispoli R, Miglietta M, Carissimo A, Cutillo L, Sirci F, Gregoretti F, Di Bernardo D (2014). Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. Bioinformatics, btu058. De Cegli R, Iacobacci S, Flore G, Gambardella G, Mao L, Cutillo L, Lauria M, Klose J, Illingworth E, Banfi S, di Bernardo D (2013). Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation. Nucleic Acids Res 41 (2):711-726.