Momchil Konstantinov
About Momchil Konstantinov
Momchil Konstantinov is a Senior Research Scientist at Eigen Technologies, specializing in machine learning algorithms for natural language processing. He has a strong academic background, holding a Master's degree from the University of Oxford and a PhD from UCL.
Current Role at Eigen Technologies
Momchil Konstantinov serves as a Senior Research Scientist at Eigen Technologies, a position he has held since 2021. In this role, he focuses on developing machine learning algorithms tailored for natural language processing tasks. His expertise in this area contributes to the company's advancements in data analysis and automation solutions.
Previous Experience at Eigen Technologies
Prior to his current position, Momchil Konstantinov worked as a Research Scientist at Eigen Technologies from 2019 to 2021. During this two-year tenure, he engaged in research and development projects that enhanced the company's capabilities in machine learning and data processing.
Academic Background and Education
Momchil Konstantinov earned a Master of Mathematics with First Class Honours from the University of Oxford, where he studied from 2010 to 2014. He furthered his education at University College London (UCL), obtaining a Doctor of Philosophy (PhD) in Mathematics from 2014 to 2019. His academic training laid the foundation for his research interests in mathematics, statistics, and machine learning.
Teaching Experience at King's College London
Momchil Konstantinov served as a Graduate Teaching Assistant at King's College London for six months in 2018. This experience involved supporting undergraduate students in their studies, contributing to his development as an educator and researcher in the field of mathematics.
Research Interests
Momchil Konstantinov has broad interests that encompass mathematics, statistics, and machine learning. His research primarily focuses on the application of machine learning algorithms to natural language processing tasks, aiming to improve the efficiency and effectiveness of data interpretation and analysis.