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Pier Francesco Palamara (PI).

I am an associate professor at the Department of Statistics in the University of Oxford. I am broadly interested in developing new methods to solve problems in population and medical genetics. Before coming to Oxford I spent three and a half years working on statistical and population genetics as a postdoctoral fellow at the Harvard Chan School of Public Health, and at the Broad Institute of MIT and Harvard. I received my PhD in computer science from Columbia University in 2014, where I worked on computational models for population genetics. Prior to that, I obtained a bachelor’s and a master’s degree from Rome's Sapienza University, and a master’s degree from Columbia University, all in computer science with a focus on artificial intelligence, machine learning, and cognitive robotics.




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Juba Nait Saada (MSc by Research).

I am a MSc-By-Research student and a Teaching Assistant in the Department of Statistics at the University of Oxford. My current research is focused on detecting identical-by-descent (IBD) segments, which are chromosomal segments that are shared by two individuals due to common ancestry. I did my undergraduate studies in Paris, where I enrolled in a Scientific Preparatory Class at Lycée Saint Louis with a focus on Mathematics. I received a bachelor’s and master’s degree in Data Science and Engineering from Télécom ParisTech in 2016 and 2017 respectively. I am interested in artificial intelligence and its application to solve public health issues.