Skip to content
Avatar

Achievements

Achievements

Highlights

  • Pro
Block or Report

Block or report wasiur

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
wasiur/README.md

Hi there, this is Wasiur!

| Google Scholar | ResearchGate | ORCID | Twitter | Personal webpage |

I am an applied mathematician interested in problems arising from biology, physics, computer science and engineering disciplines. To be more specific, I am interesed in limit theorems in probability theory and statistical inference with applications in chemical reaction networks, infectious disease epidemiology, communication networks.

A lot of what I work on has to do with large random graphs (networks). A convenient choice of a random graph is the configuration model, which allows prescribed degrees (the number of connections). You just pair the edges uniformly at random to generate the graph! I like to consider processes that run on the graph (e.g., spread of disease/virus, information) and ponder what would happen when the graph grows bigger and bigger. If I can figure out the limit, I like to use it to do statistical inference. Turns out Dynamic Survival Analysis (DSA) is a cool way to do that! Cool because it allows you to extract probability distributions out of dynamical systems and do parameter inference based on a random sample of observations!

Conctruction of a configuration model random graph.

Sequence of growing configuration model random graphs with a Poisson degree distribution.

Dynamic Survival Analysis allows parameter inference based on a random sample of observations! Check out a Python implementation here.

Interested to learn more about my research? Visit my personal page here.

Popular repositories

  1. This repository provides a Python implementation of the dynamical survival analysis method

    Jupyter Notebook 6 1

  2. This repository describes the delay models for biochemical reaction networks

    Julia 4 1

  3. cayman Public

    Forked from pages-themes/cayman

    Cayman is a Jekyll theme for GitHub Pages

    CSS

  4. Forked from cbskust/SDS.Epidemic

    These R codes provides methods of statistical inference for epidemic model based on survival dynamical systems.

    R

  5. Dynamic survival analysis of the COVID-19 outbreak in prisons in various parts of Ohio, USA.

    Julia

71 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri

Contribution activity

October 2021

Created 4 commits in 1 repository

Seeing something unexpected? Take a look at the GitHub profile guide.