Dr Luisa Cutillo
- Position: Lecturer in Statistics
- Areas of expertise: Networks and Networks application, time series, clustering, multiple omics, hypothesis testing
- Email: L.Cutillo@leeds.ac.uk
- Location: 11.12 School of Mathematics
- Website: GitHub Repositories | Twitter | LinkedIn | ORCID
I am a Lecturer in Statistics at the School of Mathematics, University of Leeds and have a very multidisciplinary background. I received my PhD in applied mathematics from the University of Naples “Federico II” and my undergraduate degree in Mathematics from the University of Campania “Luigi Vanvitelli”, Italy.
I was awarded a prestigious 2 years Marie Skłodowska-Curie Individual Fellowship that I carried out in the research group of Professor Neil Lawrence both at the Department of Computer Science and Neuroscience (SITraN), University of Sheffield. Prior to that, I was Lecturer (ricercatore) at the University of Naples “Parthenope” in the Faculty of Economics and a member of the Bioinformatics Core of the Telethon Institute of Genetics and Medicine in Naples.
I am Programme Manager for the following Masters programmes in the School of Mathematics:
- Group leader for the Modern Applied Statistics Group
- Leader of the Local DS&AI education Interest group
My current interests are related to Networks and Networks applications. In particular I am interested in studying and validating Networks structures and in biomendical networks application.
As part of my Turing Project at UoL, I have organised a Turing Workshop for Data Science educators 21st September 2022, Mechanical Engineering LT B (2.37), University of Leeds.
We will have many speakers from Industry (Morrisons, ASDA, MathWorks), Academia (Leeds, Newcastle, Birmingham) and Alan Turing Institute (full list of speakers here), with a panel discussion in the morning and interactive group discussions in the afternoon.
The event is hybrid and free. In person registration closes on 14th September!
- Theme 1 - Train the trainer: discussion to identify a set of skills and interventions that could form the basis of a Continuing Professional Development (CPD) program for data science educators. How can we keep DS trainers continuously up-to-date.
- Theme 2 - Student’s employability: discussion to identify the latest expectations from academia and industry on the skills of data scientists. How can we make our students more employable?
- Theme 3 - Data Science curricula: discussion to identify critical areas of interest to include in our data science curricula. What is missing in our DS curricula?
- Theme 4 - Data Science for non-Stem disciplines: discussion to identify how to expand data science training to less technical disciplines in order to improve data and computational literacy. How can we lower barriers to data science education and careers for non-STEM disciplines?
In the afternoon we will have lightening talks from some members of our Local DS&AI education Interest group (Paul Baxter, Eric Atwell, Martin Callagham and Matt Bawn), that will talk about new initiatives in our University.
- Bioinformatics Awareness Day (BAD) – Single Cell RNAseq Hackathon (12th May 2022) provided researchers with the opportunity to gather, discuss, and implement ideas/projects during intensive and productive coding sessions in bioinformatics.
The topics were aligned to challenges proposed by the local applied statistics and mathematics and biomedical communities, with particular focus on Single Cell RNAseq data, together with training on a selection of new methodologies.
- Together with Professor Jeanine Houwing-Duistermaat, I organised a COST action event, Women in Networks (WiN), bringing together women from around the world working in networks modelling and applications and hosted at the School of Mathematics. You can read the news here.
Current postgraduate researchers
<li><a href="//phd.leeds.ac.uk/project/1605-plastics-recycling-challenges:-a-combined-physical-modelling-and-ai/data-science-approach">Plastics recycling challenges: a combined physical modelling and AI/data science approach</a></li>