Scitodate
Mehdi Farza, PhD, has a diverse and extensive work experience in various research and startup roles. Mehdi is the CEO and Co-founder of SCITODATE, where they help companies in the scientific field integrate their intelligence platform into their workflows. Mehdi also worked as a Visiting Researcher at Vrije Universiteit Amsterdam and Simon Fraser University. Additionally, Mehdi has experience as a startup founder at Rockstart. Mehdi conducted research as a Researcher at FOM, focusing on the study of long-range interactions in ultracold quantum gases. Prior to that, they worked as a Researcher at Ikerbasque. During their PhD at Nano-bio, ETSF, Mehdi focused on Time-Dependent Density Functional Theory and developed theorems and extended it to include electronic systems interacting with quantized light.
Mehdi Farza, PhD, obtained their Bachelor's Degree in Condensed Matter and Materials Physics from Shahid Beheshti University, where they studied from 2004 to 2009. Mehdi then pursued a Master of Science (MS) in the same field at Shahid Beheshti University from 2009 to 2011. Subsequently, they completed their PhD in Condensed Matter and Materials Physics at the Universidad del País Vasco/Euskal Herriko Unibertsitatea, where they studied between 2011 and 2015.
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Scitodate
SCITODATE is the daily scientific recommendation engine. They provide tailored articles to all researchers who seek to stay up-to-date with minimal effort. The engine can extract a user’s interests on registration by simply providing their name. SCITODATE will then automatically collect all their publications and analyse them to create a researchprofile. After this minimal setup, the researcher will receive a daily automatically curated shortlist of new articles, which are guaranteed to be enough to stay updated in one’s field.The SCITODATE technology is also very flexible and can easily be adapted to fill other parallel needs in the scientific community, particularly for publishers, universities and instrumentation producers. SCITODATE is able to offer reliable automatic solutions for problems ranging from peer reviewer selection, improved personalised search, global analytics about progress and science, productivity and influence analytics to finding potential clients and talent.
Employees
11-50