About me
Ghita Berrada
Assistant Professorial Lecturer in Data Science
Data Science Institute (DSI), London School of Economics and Political Science (LSE)
Email: g.berrada[at]lse.ac.uk
Code samples: https://gitlab.com/berradag (mainly code related to anomaly detection)
CV
Link to LinkedIn profile
I am an Assistant Professorial Lecturer at the Data Science Institute (DSI) at the London School of Economics and Political Science (LSE).
I was previously a Research Associate in Health Informatics in the School of Population Health and Environmental Sciences at the King's College London (sept 2019-apr 2023) and a Research Associate in the School of Informatics at the University of Edinburgh (june 2016-june 2019). I also held an honorary appointment at the School of Health Sciences, Division of Informatics, Imaging& Data Sciences of the University of Manchester (feb 2021-dec 2022).
I am not a dyed-in-the-wool Bayesian though I am supposed to be one by training...
P.S: In case you're wondering how my name is pronounced, just replace the "Gh" by an "R" (preferably a French "R") and you'll be close enough...
Research interests
Broadly speaking, I am interested in "decision support systems", particularly in application domains such as healthcare or computer security. More specifically, my research revolves around questions such as the following:
How do you design systems to assist users' decision-making when the data available is highly unbalanced (i.e the classes of interest are varied and barely represented in the data), highly uncertain and barely annotated? How do you design a good system when you are interested in the anomalies rather than the (majority) "normal class"?
How do you properly evaluate such systems?
Can we design "better" decision support systems by making use of provenance data/data provenance?
How do you present the results of such decision support systems in a way that is easily understandable by a human user (e.g visualization, explanations...)?
How do we make such systems "ethical" by design and avoid their possible (negative) externalities (e.g impact on human dignity) ?
Education
PhD in Computer Science, 2015
MSc in Pattern Analysis and Neural Networks, 2007
Diplôme d'ingénieur (French engineering diploma, equivalent to MSc), 2007