Zsombor Koman

Zsombor Koman has a diverse work experience that spans various roles and industries. Zsombor has worked at WorldQuant since 2017, where they started as a Quantitative Research Intern and later became a Quantitative Researcher. Zsombor then advanced to the position of Senior Quantitative Researcher, where they contributed to the development and popularization of technologies such as AIED and SCVOL. In 2019, they worked as a Senior Scientist, focusing on machine learning. Finally, they achieved the role of Vice President, Research in January 2020.

In addition to their work at WorldQuant, Zsombor Koman has held roles at Central European University as a Teaching Assistant and Mathematics Tutor. Zsombor also worked as a Research Assistant at Ericsson and as an Educational Material Creator at Intellisense LabCamera. Zsombor was a Junior Templeton Fellow at the John Templeton Foundation and completed a Software Developer Internship at NNG LLC in 2015.

Zsombor Koman's education history is as follows:

Zsombor Koman completed their Master of Science (MS) degree in Mathematics and Its Applications at Central European University from 2016 to 2018. Prior to this, they earned their Bachelor of Science (BS) degree in Physics with a specialization in Computer Science from Eötvös Loránd University, where they studied from 2013 to 2016. During the same period, Zsombor also participated in workshops on Mathematics and Physics, as well as Computer Science, at József Eötvös College.

Before entering university, Zsombor attended Áprily Lajos High School from 2008 to 2012, where they pursued a Mathematics-Informatics profile.

In addition to their formal education, Zsombor has obtained various certifications. These include completing courses on Inferential Statistics at the University of Amsterdam through Coursera in October 2022, Origins of Life at the Santa Fe Institute in December 2021, and Nonlinear Dynamics: Mathematical and Computational Approaches at the Santa Fe Institute in March 2021.

Furthermore, Zsombor has engaged in several online specializations and courses related to data science, machine learning, mathematics, and finance. These include certifications in Applied Data Science with Python, Applied Machine Learning in Python, Applied Plotting, Charting & Data Representation in Python, Applied Social Network Analysis in Python, Applied Text Mining in Python, Building a Data Science Team, Google Cloud Platform Big Data and Machine Learning Fundamentals, and Introduction to Data Science in Python, all obtained through Coursera between 2020 and 2021. Zsombor has also completed the Mathematics for Machine Learning Specialization, including courses on Multivariate Calculus, PCA, and Linear Algebra, offered by ICL on Coursera in 2020. Additionally, Zsombor holds certificates in Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, and Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, earned from deeplearning.ai in 2019.

Overall, Zsombor Koman possesses a strong academic background in Mathematics, Physics, Computer Science, and Data Science, supplemented by numerous certifications showcasing their dedication and expertise in various fields.