UCL Women in Mathematical Sciences
This event series is aimed at (and organised by) female 3rd and 4th year undergraduates, postgraduate students and research staff from the UCL Departments of Mathematics and Statistical Science and the Centre for Mathematics, Physics and Engineering in the Life Sciences and Experimental Biology (CoMPLEX). It's objective is to encourage female researchers from these departments to come and meet in an informal environment. The meetings are a mixture of research presentations by leading female researchers in the mathematical sciences and talks where female researchers describe how they succeeded in their careers and what difficulties they encountered along the way. The presentations are followed by further discussions over lunch.
Events
9 November 2016: Women's lunch
All female 4th year, MSc and PhD Students, Postdoctoral Fellows and Staff from the Department of Mathematics, Department of Statistical Science and CoMPLEX are warmly invited to attend. We will provide a delicious lunch in an informal, friendly environment. This is a great opportunity for female students to get to know each other and to meet leading female professionals in mathematical sciences such as statistics, mathematics, computer science etc.
Date
Wednesday, 9th November 2016, 12.00-14.00.
Room
Room 505, Department of Mathematics, 25 Gordon street.
19 July 2016: Speaker - Charlotte Deane
Title
Evaluating modules in molecular networks in light of annotation bias
Abstract
Detecting novel functional modules in networks has become an important step in many research areas. In this talk I will describe a method for evaluating potential modules that overcomes annotation biases that may occur in the network. I will demonstrate its utility in the area of biological networks. In biological networks, in the absence of gold standard functional modules, functional annotations are often used to verify whether detected modules/communities have biological meaning. However, as I will show, the uneven distribution of functional annotations means that such evaluation methods favour communities of well-studied proteins. We propose a novel framework for the evaluation of communities as functional modules. Our proposed framework, CommWalker, takes communities as inputs and evaluates them in their local network environment by performing short random walks. We test CommWalker's ability to overcome annotation bias using input communities from four community detection methods on two protein interaction networks. We find that modules accepted by CommWalker are similarly co-expressed as those accepted by current methods. Crucially, CommWalker performs well not only in well-annotated regions, but also in regions otherwise obscured by poor annotation. CommWalker community prioritization both faithfully captures well-validated communities, and identifies functional modules that may correspond to more novel biology.
Short Bio
Charlotte Deane is Professor of Structural Bioinformatics and Head of the Department of Statistics at the University of Oxford. She obtained her MA in Chemistry from the University of Oxford in 1997 and a PhD in Bioinformatics from the University of Cambridge in 2000. Following two years as a Wellcome Trust International Fellow at UCLA she returned to Oxford as a University Lecturer in the Department of Statistics. Her research focuses on protein informatics including protein-protein interactions, and protein structure prediction and evolution, particularly of antibodies and membrane proteins. She has published over 80 papers in leading journals and been a keynote speaker at conferences worldwide.
She is a world leader in protein structure evolution and her antibody modelling tools are already part of the Medimmune, Roche and UCB Pharma drug discovery pipelines. She is currently discussing their implementation with Sanofi and GSK. Other industrial collaborators include AstraZeneca UK Limited, Diamond Light Source, e-Therapeutics, Evotec, GE Healthcare, GlaxoSmithKline, InhibOx, Lilly UK, Microsoft, Novartis and Pfizer. She also works as a consultant for Medimmune, UCB and Roche.
17 March 2016: Women's lunch
All female 4th year, MSc and PhD Students, Postdoctoral Fellows and Staff from the Department of Mathematics, Department of Statistical Science and CoMPLEX are warmly invited to attend. We will provide a delicious lunch in an informal, friendly environment. This is a great opportunity for female students to get to know each other and to meet leading female professionals in mathematical sciences such as statistics, mathematics, computer science etc.
Date
Thursday, 17th March 2016, 12.00-14.00.
Room
Room 102, Department of Statistical Science, 1-19 Torrington Place.
12 November 2015: Speaker - Alison Etheridge
Title
The pain in the torus: modelling evolution in a spatial continuum
Abstract
Since the pioneering work of Fisher, Haldane and Wright at the beginning of the 20th Century, mathematics has played a central role in theoretical population genetics. One of the outstanding successes is Kingman’s coalescent. This process provides a simple and elegant description of the way in which individuals in a population are related to one another. It is based on the simplest possible model of inheritance and is parametrised in terms of a single number, the population size. However, in using the Kingman coalescent as a model of real populations, one does not substitute the actual census population size, but rather an ‘effective’ population size which somehow captures the evolutionary forces that are ommitted from the model. It is astonishing that this works; the effective population size is typically orders of magnitude different from the census population size. In order to understand the apparent universality of the Kingman coalescent, we need models that incorporate things like variable population size, natural selection and spatial and genetic structure. Some of these are well established, but, until recently, a satisfactory approach to populations evolving in a spatial continuum has proved surprisingly elusive. In this talk we describe a framework for modelling spatially distributed populations that was introduced in joint work with Nick Barton (IST Austria). As time permits we’ll not only describe the application to genetics, but also some of the intriguing mathematical properties of some of the resulting models.
Short Bio
Alison Etheridge is a Professor of Probability at the Magdalen College at the University of Oxford. Her particular areas of research have been in measure-valued processes; in theoretical population genetics; and in mathematical ecology. A recent focus has been on the genetics of spatially extended populations, where she has exploited and developed inextricable links with infinite-dimensional stochastic analysis. Her resolution of the so-called ‘pain in the torus’ is typical of her work in that it draws on ideas from diverse areas, from measure-valued processes to image analysis. The result is a flexible framework for modelling biological populations which combines ecology and genetics in a tractable way, while introducing a novel and mathematically interesting class of stochastic processes.
Schedule
Time | Event | Location |
12:00-14:00 |
Women's lunch |
Room 706, 25 Gordon Street |
15:30 | Coffee | Room 102, 1-19 Torrington Place |
16:00-17:00 | Presentation | Room 102, 1-19 Torrington Place |
18:00 | Drinks | Room 102, 1-19 Torrington Place |
1 May 2015: Speaker - Rachel McKendry
Title
Harnessing the power of mobile phones and big data for global health
Abstract
Worldwide many infections remain undiagnosed and untreated due to poor diagnostic tools at the point of care. Professor Rachel McKendry will present her research to create a new generation of mobile phone-connected diagnostic tests for infectious diseases. The widespread use of mobile phones could dramatically increase access to testing outside of hospital settings, particularly in developing countries. This research sets the foundations of a global early-warning system, linking the millions of symptoms that are self-reported on the web each day to mobile phone-connected tests, in real-time and with geographically-linked information. This research lies at the cutting edge of infectious diseases, nanotechnology, telecommunications, big data and public health.
Short Bio
Rachel McKendry is Professor of Biomedical Nanotechnology at UCL and holds a joint position at the London Centre for Nanotechnology and Division of Medicine. She is Director of i-sense, a national £11M EPSRC Interdisciplinary Research Centre in Early Warning Sensing Systems for Infectious Diseases and Director of Biomedicine and Life Sciences at the London Centre for Nanotechnology, UCL. Rachel has won several prestigious fellowships and awards including a Royal Society Dorothy Hodgkin Fellowship, Institute of Physics Paterson Media and a Royal Society Wolfson Merit Award. Most recently, Rachel was awarded a Royal Society Rosalind Franklin Award for her scientific achievements, suitability as a role model and proposal to launch a national competition to create mobile phone apps to inspire women to become leaders in STEM.
Date
Friday, 1 May 2015, 13.00-14.00.
Room
Room 102, 1-19 Torrington Place.
26 February 2015: Women's lunch
All female 4th year, MSc and PhD Students, Postdoctoral Fellows and Staff from the Department of Mathematics, Department of Statistical Science and CoMPLEX are warmly invited to attend. We will provide a delicious lunch in an informal, friendly environment. This is a great opportunity for female students to get to know each other and to meet leading female professionals in mathematical sciences such as statistics, mathematics, computer science etc.
Date
Thursday, 26th February 2015, 12.00-14.00.
Room
Room 102, Department of Statistical Science, 1-19 Torrington Place.
30 October 2014: Women's Lunch
All female 4th year, MSc and PhD Students, Postdoctoral Fellows and Staff from the Department of Mathematics, Department of Statistical Science and CoMPLEX are warmly invited to attend. We will provide a delicious lunch in an informal, friendly environment. This is a great opportunity for female students to get to know each other and to meet leading female professionals in mathematical sciences such as statistics, mathematics, computer science etc.
Date
Thursday, 30 October 2014, 12.00-14.00.
Room
Room 502, Department of Mathematics, 25 Gordon Street.
11 June 2014: Speaker - Irini Moustaki
Title
Handling missing values in cross-national surveys: a latent variable approach
Abstract
Sample surveys collect information on a number of variables for a randomly selected number of respondents. Among other things, the aim is often to measure some underlying trait(s) of the respondents through their responses to a set of questions. In the paper, we focus on cross-national surveys. The main research objective is to compare the distribution of the latent variables across countries (structural model). In some applications, latent variables will be considered continuous (e.g. ability) and in some other applications discrete (e.g. health state). Here, our focus will be primarily the modelling of item non-response and studying its effect on cross-countries comparisons. Measurement invariance will be assumed for the observed indicators conditional on the latent variables across countries. Various model extensions are proposed here to model the missing data mechanism together with the measurement and structural model. The model for the missing data mechanism will serve two purposes: first to characterize the item non-response as ignorable or non-ignorable and consequently to study the patterns of missingness and characteristics of non-respondents across countries but also to study the effect that a misspecified model for the missing data mechanism might have on the structural part of the model.
Short Bio
Irini Moustaki is a professor of Social Statistics at the London School of Economics and Political Science. Her research interests are in the areas of latent variable models and structural equation models that are widely used in Social Sciences and Educational Testing for measuring unobserved constructs such as attitudes, health status, behaviours, intelligence, performance, etc. Her methodological work includes treatment of missing data, longitudinal data, detection of outliers, goodness-of-fit tests and advanced estimation methods. Furthermore, she has made methodological and applied contributions in the areas of comparative cross-national studies and epidemiological studies on rare diseases.
Date
Wednesday, 11 June 2014, 12.00-13.00.
Room
Room 102, 1-19 Torrington Place.
12 March 2014: Speaker - Emma McCoy
Title
Mathematics for solving real problems
Abstract
This talk will describe the research developments associated with two projects that I am involved in via my collaborations with both industry and academics from different disciplines. They are two completely different problems, requiring very different approaches and working with very different people, but both rely on the development of new methodology. The first is associated with the development of software to allow for the breakdown of intra-day volatility into daily, monthly and longer term volatility for commodity prices. The second is the development of statistical techniques which allow us to quantify the effect of area deprivation on child pedestrian casualties. Through these two case studies, I will attempt to give a flavour of the issues, both good and bad, that I have found in my experience of collaborative work on real problems.
Short Bio
Emma McCoy is the Deputy Head of the Mathematics Department and a member of the Statistics Section at Imperial College London. She holds an MSc in Computational Statistics from the University of Bath and a PhD from the Department of Mathematics at Imperial. Emma has been a mathematics subject expert for the Department for Education and teaches statistics at the undergraduate and postgraduate level. She regularly participates in mathematics dissemination activities including delivering Royal Institution Mathematics Masterclasses and has given the London Mathematical Society Popular Lecture. Her published research includes work on the development of statistical methodology for time series, with applications in signal processing and financial time series analysis, incorporating methods for prediction and inference. Her most recent research involves the development of novel causal methods for statistical inference.
Date
Wednesday, 12 March 2014, 12.00-13.00.
Room
Pearson Lecture Theatre, G22 Pearson (North East Entrance).
30 October 2013: First Women's Lunch
PhD Students, Postdoctoral Fellows and Staff from CoMPLEX, Mathematics Department, Statistical Science Department.
Come and meet other female researchers of the departments in an informal environment. Lunch will be provided.
Date
Wednesday, 30 October 2013, 12.00-14.00.
Room
Pearson Room (Room 116), 1-19 Torrington Place.
Organisers
Name |
Role |
Email* |
Codina Cotar |
Reader, Statistical Science |
c.cotar |
Jacqui Espina |
Research Associate, Mathematics |
j.espina |
Katrin Haeussler |
PhD Student, Statistical Science |
k.haeussler |
Nargess Khalilgharibi |
PhD Student, CoMPLEX |
nargess.khalilgharibi.11 |
Ioanna Manolopolou | Lecturer, Statistical Science | i.manolopoulou |
Sofia Olhede |
Professor, Statistical Science |
s.olhede |
Stephanie Reynolds | PhD Student, CoMPLEX | stephanie.reynolds.13 |
Helen Wilson |
Professor, Mathematics |
helen.wilson |
*@ucl.ac.uk
Suggest a Speaker
To suggest a speaker please contact one of the organisers above.