Doris Schneider

Doris Schneider

Doris Schneider

Doris Schneider works on biomathematical modelling of metabolic pathways and regulatory mechanisms especially in the context of ROS dynamics and oxidative stress in cells. Besides modelling the cellular metabolism, her main research field is the parametrization of the evolved mathematical models using diverse types of data from in vitro experiments.
She is member of the research group AG Neuss-Radu.

Research interests:

    • biomathematical modelling of metabolic pathways and regulatory mechanisms
    • ROS dynamics / oxidative stress in cells
    • parameterization of mathematical models employing diverse data types from in vitro experiments
    • Bayesian model comparison and parameter estimation
    • (Markov Chain) Monte Carlo methods

Curriculum Vitae

Education

since 2017 PhD student at FAU Erlangen-Nürnberg under supervision of PD Dr. Maria Neuss-Radu
2014–2017 Master’s studies in Integrated Life Sciences, FAU Erlangen-Nürnberg
Focus:
Mathematical Modelling and Systems Biology
Biological Structures and Processes
Topic of Master’s Thesis:
Mathematical Modelling and Simulation of Response Pathways for Cellular Stress
2015 Semester abroad at Itä-Suomen yliopisto (University of Eastern Finland) in Joensuu, Finland (ERASMUS+)
2011–2014 Bachelor’s studies in Integrated Life Sciences, FAU Erlangen-Nürnberg
2011 Abitur at Ostendorfer-Gymnasium Neumarkt i.d.OPf.

Fellowships

07/2019 — 03/2020 PhD scholarship “Bavarian Equal Opportunities Sponsorship – Realisierung von Chancengleichheit von Frauen in Forschung und Lehre (FFL) – Realization Equal Opportunities for Women Research and Teaching“
07/2018 travel allowance from FAU (Tagungsförderung für Frauen) for participation at ECMTB 2018
08/2017 scholarship from The Alan Turing Institute, London, for summer school on Mathematical Aspects of Inverse Problems

Lectures and Practicals

      • Assistance and practicals for lectures “Mathematik für Data Science 2” and “Mathematik für Physikstudierende B” (SoSe 21)
      • Lecture “Mathematical Modeling in the Life Sciences” in cooperation with PD Dr. Maria Neuss-Radu (WiSe 20/21)
      • Assistance and practicals for lectures “Mathematik für Data Science 1” and “Mathematik für Physikstudierende A” (WiSe 20/21)
      • Assistance and practicals for lecture “Mathematik für Ingenieure E2” (SoSe 20)
      • Assistance and practicals for lecture “Partial Differential Equations for Life Sciences” (SoSe 18)
      • Assistance and practicals for lecture “Biomathematics” (WiSe 17/18)

Research

Research interests

As a doctoral student, Doris Schneider currently works on a research project about mathematical modelling of response pathways for cellular stress. There, she identifies relevant metabolic pathways and corresponding regulatory mechanisms. From these a mathematical model is deduced and parametrized. Additionally, she develops techniques to estimate parameters from diverse in vitro data and, particularly, evolves a standardized method to analyse fluorescence measurements from a Bayesian perspective especially in the context of cross talk. For this task she applies modern Monte Carlo techniques amongst others.

Scientific talks

      • “A Bayesian framework for parameter estimation from fluorescence data”, August 20 2020, eSMB2020, online
      • “Mathematical modelling of cellular response pathways for oxidative stress”, July 27 2018, ESMTB 2018, Lisbon, Portugal

Conferences

      • SMB 2020 Annual Meeting (eSMB2020), 17 Aug 2020 – 20 Aug 2020, online
      • 11th European Conference on Mathematical and Theoretical Biology (ECMTB 2018), 23 Jul 2018 – 27 Jul 2018, Lisbon, Portugal
      • Summer School: Mathematical Aspects of Inverse Problems, 29 Aug 2017 — 01 Sep 2017, The Alan Turing Institute, London, UK

Projects

  • Dose-response modeling of 3-nitrobenzanthrone-induced alterations of the energy metabolism in urothelial cells

    (Third Party Funds Single)

    Term: 01-01-2017 - 30-06-2019
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

Publications

2022

2019