معرفی
Syed Haider is a doctoral researcher at the University of Sussex's School of Mathematical and Physical Sciences. His research focuses on statistical inference for ordinary differential equations (ODEs), emphasizing automatic differentiation to enhance numerical approximation techniques in epidemiological and predator-prey models.
Education:
- BSc in Mathematics from Queen Mary University of London (2021)
- PhD candidate at University of Sussex (2024)
Research Interests: Syed specializes in computational mathematics, parameter estimation for ODEs, maximum likelihood and Bayesian inference, and the identifiability of parameters in models like SIR and Lotka-Volterra. His work bridges mathematical methods with applications in epidemiology and sustainability.
Teaching & Supervision: As a Doctoral Tutor at the University of Sussex (2024-2025), he teaches:
- Monte Carlo Simulations (G5220)
- Analysis 2 (G5139)
- Computational Mathematics (G5137)
- Linear Algebra 2 (G5138)
