Introducing Golmehr, our new Data Scientist

We are happy to introduce Golmehr, who recently joined Global Campus as a Data Scientist.

I am joining Global Campus as a Data Scientist, working with large databases to make our data and algorithms more reliable. A big part of my role involves designing and running experiments to investigate whether we can establish a reliable gold standard from noisy data, and how closely our algorithms can match it.

I recently graduated from Delft University of Technology (TU Delft) with a Master’s degree in Electrical Engineering, specializing in Signals and Systems. My thesis was part of a collaborative research project between TU Delft and Erasmus Medical Center in Rotterdam, where I worked on recovering the acoustic change complex, a brain response to changes in sound, from EEG recordings. This response is usually so buried in noise that it has to be averaged over many repetitions, making recordings long. I developed a single-trial pipeline to extract it more efficiently and reduce recording time. Working on this sparked my interest in the broader challenge of finding meaningful information in noisy data, which ultimately led me to data science and to Global Campus.

As a fresh graduate, I am excited about the challenges ahead, and everything I will learn along the way.

Outside of work, I am passionate about yoga, which I have been practicing consistently for the past four years, and someday I’d love to get certified as a yoga instructor. I also love learning languages and exploring different cultures. Besides Persian and English, I studied French up to an intermediate level in high school. These days, I’m working toward becoming fluent in Dutch within the next year or two, and, purely out of curiosity, I’ve recently started learning Turkish as well!