Skip to main content
University of Oxford logo Home

Search form

  • Log in
  • Members
  • About Us
    • Contact Us
    • Travel & Maps
    • Our Building
    • Supporting Mathematics
    • Alumni
    • History
    • Art and Oxford Mathematics
    • News
    • Vacancies
    • Equality, Diversity & Inclusion
  • Study Here
    • Undergraduate Study
    • Postgraduate Study
    • Current Students
  • Research
    • Research Groups
    • Case studies
    • Faculty Books
  • Outreach
    • Posters
    • Oxford Mathematics Alphabet
    • Oxford Online Maths Club
    • It All Adds Up
    • Problem Solving Matters
    • PROMYS Europe
    • Oxfordshire Maths Masterclasses
    • Maths Week England
    • Outreach Information
    • Mailing List
  • People
    • Key Contacts
    • University People Search
    • People list
    • A Global Department
    • Research Fellowship Programmes
    • Professional Services Teams
  • Events
    • Conference Facilities
    • Public Lectures & Events
    • Departmental Seminars & Events
    • Special Lectures
    • Conferences
    • Summer Schools
    • Past Events
    • Alumni newsletters
    • Info for event organisers and attendees

Primary tabs

  • View(active tab)
  • Contact
image.jpeg

Ana Osojnik

MMath in Mathematics, University of Bath
Status
Postgraduate Student

DPhil candidate at the EPSRC CDT in Industrially Focused Mathematical Modelling (InFoMM)

Contact form
+44 1865 283878
Research groups
  • Mathematical Biology

Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Recent publications
Identifying and characterising the impact of excitability in a mathematical model of tumour-immune interactions
Osojnik, A Gaffney, E Davies, M Yates, J Byrne, H arXiv (03 Sep 2019)
Unbiased 'walk-on-spheres' Monte Carlo methods for the fractional Laplacian
Kyprianou, A Osojnik, A Shardlow, T IMA JOURNAL OF NUMERICAL ANALYSIS volume 38 issue 3 1550-1578 (Jul 2018) https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450010000016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=4fd6f7d59a501f9b8bac2be37914c43e
Major / recent publications
Identifying and characterising the impact of excitability in a mathematical model of tumour-immune interactions
A. Osojnik, E. A. Gaffney, M. Davies, J. W. T. Yates, H. M. Byrne. 
arXiv:1909.05203 (2019)
 
Data assimilation approach to analysing systems of ordinary differential equations
W. Arter, A. Osojnik, C. Cartis, G. Madho, C. Jones, S. Tobias
2018 IEEE International Symposium on Circuits and Systems (ISCAS) (2018)
 
Unbiased "walk-on-spheres" Monte Carlo methods for the fractional Laplacian
A E. Kyprianou, A. Osojnik, T. Shardlow
IMA Journal of Numerical Analysis 38(3), 1550-1578 (2017)
Teaching

2014-16

  • Methods & Applications 1 (Tutor and Marker), Department for Mathematical Sciences, University of Bath
  • Probability & Statistics 1B (Tutor and Marker), Department for Mathematical Sciences, University of Bath

2017-18

  • B6.1 Numerical Solutions to Differential Equations 1 (TA, Michaelmas), Mathematical Institute, University of Oxford
  • M5 Fourier Series and PDEs (TA, Hillary), Jesus College, University of Oxford

2018-19

  • C5.5 Perturbation Methods (TA, Michaelmas), Mathematical Institute, University of Oxford
Research interests

​Current research:

As part of my DPhil project, I am working in collaboration with AstraZeneca on mathematical modelling of immunotherapy treatments. Immunotherapies are new promising tools, which aim to stimulate the body's own immune system to attack cancer cells. Despite success of such treatments so far, clinical trials still show a large group of patients, who do not respond to immunotherapeutic drugs. In order to increase response rates, a better understanding of the complex interactions between tumour and immune cells is needed. We are looking at bifurcating/bistable ordinary differential equations models of tumour-immune interactions, and feasibilty of integration of such models with data from preclinical trials. This can shed more light into the mechanisms leading to no response to treatment.

Other areas of interest:

  • Mathematical modelling in biology and medicine
  • Parameter identifiability
  • Data assimilation
  • Stochastic processes
  • Scientific computing
  • Machine learning
Oxford Mathematics Twitter
Oxford Mathematics Facebook
Oxford Mathematics Instangram
Oxford Mathematics Youtube

© Mathematical Institute
Website Accessibility Statement
Website Privacy Policy & Cookies Statement

Good practice scheme
Athena SWAN silver award
Stonewall workplace equality
sfy39587stp18