The SAMBa conference is an opportunity for students to showcase their work to members of the department, outside the department and at other Universities in a supportive environment. The work of SAMBa students covers the entire spectrum of statistical applied mathematics: including projects in statistics, probability, analysis, numerical analysis, mathematical biology, fluid dynamics, machine learning and highperformance computing. The conference is organized by students and contains talks by SAMBa students, external speakers, and students from other departments and institutions.
The conference will be hosted in the Wolfson Lecture Theatre, 4 West room 1.7, the Mathematical Sciences department of the University of Bath
Travel information for getting to the University of Bath campus can be found on the University of Bath Travel Advice page
Registration for the conference is now closed. Please email one of the committee if you have any questions.
All attendees are expected to follow the SAMBa Conference Code of Conduct.
Below is the schedule for the conference. The list of speakers can be found below the timetable with their titles and abstracts updated when they become available. Each session of talks is linked nominally by theme, given to provide an idea of focus for the session.
The conference programmge, which includes the schedule, can be downloaded in PDF format.
Time  Tuesday (5th July)  Wednesday (6th July) 
09:30  Arrivals and Registration  Arrivals with Coffee 
09:45  Welcome talk  
10:00  Keynote Talk Chair: Carmen Speaker: Jane Hutton 
Keynote Talk Chair: Jenny Speaker: Cameron Hall 
10:15  
10:30  
10:45  
11:00  Break  Break 
11:15  Session 1a Chair: Fraser Speakers: Abby Barlow, Andrei Sontag 
Session 3a Chair: Matthew Speakers: Piotr Morawiecki, Cecilie Andersen 
11:30  
11:45  
12:00  Break  Break 
12:15  Session 1b Chair: Fraser Speaker: Theodora Syntaka 
Session 3b Chair: Jenny Speakers: Eileen Russell, Kat Phillips 
12:35  Conference Photo  
12:45  
13:00  Lunch  Lunch 
13:15  
13:30  
13:45  
14:00  Keynote Talk Chair: Fraser Speaker: Radek Erban 
Lightning Talks Chair: Jenny Speakers: Cohort 8 
14:15  
14:30  
14:45  
15:00  Break  Break 
15:15  Session 2a Chair: Carmen Speakers: Carlo Scali, Yi Sheng Lim 
Session 4 Chair: Seb Speakers: Eric Baruch Gutierrez Fengpei Wang 
15:30  
15:45  
16:00  Break  Break 
16:15  Session 2b Chair: Matthew Speakers: Christopher Dean, Josh Inoue 
Keynote Talk Chair: Matthew Speaker: Katie Steckles 
16:30  
16:45  
17:00  Poster Session Chair: Seb, Jenny, Fraser 

17:15  Closing Remarks  
17:30  
17:45  
18:00  Walk into town 

18:15  
18:30  
18:45  
19:00  InPerson Conference Dinner 
This section lists the confirmed speakers, and their titles and abstracts as they become available.
Some publications by influential mathematics groups were directly misleading: in estimating cases of Covid19, the assumption, made by prominent mathematicians, that PCR test had sensitivity of effectively 100%, and specificity of 8090%, relied on gross misreading of the references cited. People were placed under effect house arrest, when, on balance of probability, they were innocent of covid.
Numbers of "covid" hospitalisations and deaths were quoted without reference to the usual daily numbers, and contributed to created a climate of fear. Predictions of 6,000 UK hospital admissions per day in January 2022 relied on the assumption that South African scientists are incompetent. Their statement that omicron variant of covid19 has much lower admission and death rates was ignored. I will discuss whether this can be construed as racism, and compare the issues with ideas of racial inequity in UK covid death rates.
The uncertainty in diagnostic tests, missing information and measurement errors all feed into transmitted variation. Even in manufacturing glass beads, the variation from engineering specification is not simply determined by considering width, for example, alone. Despite this, mathematical predictions of covid cases were used to justify lockdowns even in countries where people would starve as a consequence. Some statisticians have tried to estimate the damage to children's education and wellbeing, and illness and deaths due to lack of access.
I argue that such mathematical modelling cannot be justified within virtue, deontological, utilitarian or care ethics, though Zoroaster or Nietzsche might be invoked. It is always necessary to consider the wider context, and the probable consequences of actions, as explained in the International Statistics Institute Code of Professional Ethics. Assessment of the validity of model assumptions, data quality, adequacy of the fit of models and accuracy of predictions is essential, and essentially statistical.
In this talk, we will introduce a multiscale metapopulation framework for a population of two neighbourhoods of households. We then use both analytic and numerical methodologies to understand how household size and connectivity between the neighbourhoods influences outbreak probability, infection risk and spread of infection between the two neighbourhoods. This research can inform surveillance and control strategies.
[1] A. Sontag, T. Rogers and C. A. Yates, Misinformation can prevent the suppression of epidemics, J. R. Soc. Interface, 19:20210668, 2022.
In this talk, we will look at the "highcontrast" case \(c_{\text{soft}} = \varepsilon^2\) and \(c_{\text{stiff}} = 1\). In other words, there is a loss of ellipticity in the limit. I will explain the main ideas behind the operator theoretic framework developed by Cherednichenko, Ershova, and Kiselev (2020). The key object is that of a "boundary triple" in the sense of Ryzhov (2009). This gives us approximations in the operator norm, which in turn gives us direct access to the spectrum.
Recently, for the identity replacement matrix, results have been shown on the asymptotic behaviour of the urn when the initial number of balls grows together with the number of time steps. In this talk, I will show new analogous results for the irreducible replacement matrix. This includes the asymptotic behaviour of the proportion of each colour in the urn and the fluctuations around this limit.
In this talk, we discuss a complex fluid dynamics model used to depict this system. We perform a number of reductions in order to simplify the mathematical complexity of the system whilst maintaining the principal dynamics of the system. We discuss the stability of the steady states that arise in our models and compare and contrast our results with the more indepth models.
The 2022 SAMBa conference was organised by five SAMBa Cohort 7 PhD students. If you have any questions, please feel free to contact any of us using the information below.