Network science is an interdisciplinary field of research that leverages the increasing availability of network data to investigate a wide range of complex phenomena such as collective social behavior, technological development, financial stability, biological interactions, and many more. Network data consists of many units known as nodes and relationships between these nodes known as links. Nodes can be persons, organizations, URLs, or proteins. Links can represent relationships such as friendship between persons, technological transfers between firms, hyperlinks between websites, and chemical interactions between proteins. Network science employs an extensive array of analytical methods and data science techniques borrowed from sociology, mathematics, physics, computer science, and economics.
- ABOUT ME
My name is Tamer Khraisha and I am originally from the Middle East. I have been living in Europe for the past 12 years, and currently, I am based in Budapest, Hungary. I did my undergraduate studies in finance and economics, which constitute my primary domain of knowledge. After that, I earned a Ph.D. cum laude in Network Science from the Department of Network and Data Science at the Central European University in Budapest. During my Ph.D., I worked on the problem of collective technological innovation as well as on a variety of computational and data-driven projects.
- MY CURRENT JOB
For the past two years, I have been working as a full-time software and data developer at Alphacruncher in Budapest. At Alphacruncher, I work on a variety of tasks including the automation of Extract, Transform, Load (ETL) jobs, documenting and implementing techniques for filtering errors and biases in datasets, writing complex queries for generating SQL views and filtering datasets, matching datasets between different sources, and developing the front-end UI for the data management application DataHub. I have worked with well-known financial datasets such as TAQ, CRSP, COMPUSTAT, IVYDB OptionMetrics, RavenPack, DealScan, and others.
- MY CAREER GOALS
In the medium-long run, I will be pursuing a career which combines scientific research with industrial applications. I want to develop data products derived from the results of scientific analysis of large and interesting datasets. I am also interested in research and applications related to the field of technological innovation which I explored during my PhD studies.
- SOME PHILOSOPHY
I believe in the power of knowledge sharing as a key to solve nowadays complex problems. And although I like facts and data, I believe in the need for philosophical thinking and human judegment in order to understand our complex systems. Finally, I am a strong advocate of the role of good institutions in driving growth and achieving human progress and prosperity.