Aside

Rani Basna, PhD

Contact Info

Software

Package {mananciais} - Co-Author, maintainer.

Teaching

GitHub repo for material.

Programming Skills

R

Python

Docker

tidyverse

Git

GitHub

Markdown

DataBase

Main

Rani Basna

About Me

Doctor of Mathematical Statistics with a specialty in Machine Learning, with more than 10 years of research and teaching experience. I catch on quickly and I’m very eager to learn. I am self motivated and enjoy overcoming challenges. I do enjoy working with a focused and creative team to meet goals and deadlines. I am delighted to read and interpret science with the purpose of communicating it to the public, management or experts. I spend most of my free time with my two children and my wife I enjoy playing board games and chess. I don’t miss the chance to meet friends and do social activities.

Education

Doctorate of philosophy in science

Linnaues Univesity

Växjö, Sweden

2016

Thesis: Mean field games for Jump Processes

M.S. in Mathematical Modeling

Linnaues Univesity

Växjö, Sweden

2010

Specialize in Mathematical Statistics and Financial Mathematics.

Diploma of Postgraduate Studies in Science

Tishreen University

Latakia, Syria

2005

B.S. in Mathematical Science

Tishreen University

Latakia, Syria

2004

Research Experience

Machine Learning Researcher

Institute of Medicine.

Gothenburg, Sweden.

2021 - Now.

  • Topics: Machine learning, Database developing, Statistical learning, Computational disease phenotype.
  • Bayesian Network, PhD supervisions, Deep Learning for Clustering.

Data Scientist Post-Doctoral.

Department of Internal Medicine and Clinical Nutrition at Institute of Medicine.

Gothenburg, Sweden

2019 - 2021

  • Topics Machine learning, Database developing, Dimensionality reduction, Statistical learning, Computational disease phenotype, Network disease modeling, risk modeling, Advanced method Clustering, Hight performance computing, and missing data imputation modeling.

Professional Experience

Data scientist

Unumai Danish based company.

Copenhagen, Denmark

2018 - 2019

  • User Behaviour predictions.
  • Recurrent Nueral Network.
  • Send-time optimization
  • Bayesian Optimization and Bayesian Bandits.

Data scientist and AI Framework Developer

Company Blackwood Seven.

Copenhagen, Denmark

2017 - 2018

  • Methods: Bayesian Statistical Hierarchical Regression Model.
  • Markov Chains Monte Carlo.
  • Marketing Mix Modeling.
  • Non-convex constrained optimization, Sequential Optimization.
  • Stochastic Approximation (Stochastic gradient Descent methods and its variants).
  • Bayesian Optimization, Variational Inference, Proximal operator methods.

I am an active participant in Conferences: I’m was a co-organizer of Linnaeus University Workshop in Stochastic Analysis and Applications. I have talks and presentations in several meetups and workshops.

Experience with Presentations, and scientific writing using Latex.

Soft Skills

Experienced in Stress management, Active listening and Collaboration.

Experienced in Communications, Adaptability, Teamwork, and Time management.

Languages

Arabic: Native

English: Proficient

Swedish: Beginner

Disclaimer

This resume was made with the R package pagedown.

Last updated on 2021-08-20.

Teaching Experience

Teacher at University of Gothenburg

  • Reproducible research in computational Science.

Gothenburg, Sweden.

2019-Now

Teacher assistant at Linnaeus University

  • Subjects: Calculus 1, Basic Mathematics, Linear Algebra, Lab sessions for Risk and Portfolio Analysis, Lab sessions for Insurance Mathematics, and Linear Statistical Models.

Växjö, Sweden.

2010 - 2014.

Teacher assistant at University of Aleppo

  • Probability and Statistics, Programing Language, Complex Analysis, Differential Equations.

Aleppo, Syria.

2006 - 2008.

Teacher assistant at Tishreen University

  • Calculus, Probability, Statistics, Mathematical Mechanic.

Latakia, Syria

2003 - 2006.

Selected Publications

Rani Basna, Astrid Hilbert, Vassili Kolokoltsov. “An Epsilon Nash equilibrium for non-linear Markov games of mean field type on finite state space”.

Communications on Stochastic Analysis,(2014) 449- 468.pages.

Växjö, Sweden.

2014

Rani Basna, Astrid Hilbert, Vassili Kolokoltsov.

“An Epsilon Nash equilibrium for pure jump Markov games of mean field type on continuous state space”.

Stochastics: An International Journal of Probability and Stochastic Processes.

Växjö, Sweden.

2016

Rani Basna, Astrid Hilbert, Vassili Kolokoltsov.