SPEAKER LIST
Leading Academics
EZRYN ZAHAROFF
Ezryn is currently studying for a Master’s degree in Data Science for Research in Health and Biomedicine in University College London. She recently graduated with a BSc in Mathematics and Statistics from the Queen Mary University of London. In her talk, she will share her personal journey to data science, information on her current degree, and tips to get started on your own data science journey
GIULIAÂ CAMPOLO
Giuly is QMUL Mathematics alumni, currently doing PhD in Chemical Biology at Imperial College London. She works in single molecule detection, using a technology called nanopores, and will show us its working principles on data collection, later analysis and visualisation created using Matlab.
VINCENZO NICOSIA
Dr. Nicosia is a Lecturer in the Complex Systems and Networks Group. His research is focused on the structure and dynamics of networks, and in particular on the characterisation and modelling of processes on multilayer and multiplex networks. He has been working on random walks, synchronisation, diffusion and opinion dynamics on networks, on growth models for time-varying and multi-layer networks, and on applications of network science to spatial systems, in particular cities and the human brain. He is currently a member of the Council and of the Executive Committee of the Complex Systems Society.
GINESTRA BIANCONI
Dr. Bianconi is the Director of the MSc in Network Science at the School of Mathematical Sciences at Queen Mary University of London. Her research includes network theory and its applications in social and technological networks, bioinformatics and neuroscience. As an author of more than 110 papers, 81 Talks at International Meetings, 59 Invited Talks at International Meetings.  She has formulated the Bianconi-Barabasi model, worked in network entropy and dynamical processes on networks. Her monography Multilayer Networks: Structure and Function was published last year by Oxford Express.
Dr. Mannan is a lecturer at Queen Mary University of London. He works in low dimensional topology, focusing on the question of when it is possible to completely flatten solid objects. He is currently studying quaternion group representations on lattices in relation to Wall's D(2) problem and applications of knot theory to helping robots deal with tangled cables. He is also interested in pursuing certain lines of thought concerning topological quantum field theory and exotic R4's
Dr. Lawrence is a Reader in Statistics, who obtained a BA in Mathematics at Brasenose College Oxford, then an MSc in Statistics at University College London. Subsequently, now working in Queen Mary since January 2003.
He is a Bayesian statistician. The main work has been on outliers and model choice in a variety of situations including linear models, finite populations, time series and circular data. Other addition work involve degradation models, models with autocorrelated errors, inference for Lanchester models of combat and applications in medicine and astronomy.
