Borislav Vangelov

Borislav Vangelov has a diverse work experience in the field of data science and machine learning. Borislav started their career at Telefónica Germany in 2004, where they worked part-time as a student. From 2006 to 2008, they had a part-time student job at setcom.

In 2014, Borislav joined benevolent.ai as a Data Scientist, where they focused on machine learning for drug discovery. Borislav gained expertise in knowledge graphs and graph analysis using diffusion-based models. Additionally, they worked on deep learning for graph inference.

In 2017, Borislav joined Continental as a Data Scientist. In this role, they worked on reinforcement learning for powertrain management and product design.

From 2020 to 2022, they worked at Orelek as part of their Machine Learning Solutions team. Unfortunately, the specific role description is not provided.

Currently, Borislav works at Dataminr as a Principal Data Scientist starting from March 2022. No end date is mentioned, indicating that they are currently employed at this position.

Throughout their career, Borislav Vangelov has gained valuable experience in various aspects of data science and machine learning, making him a well-rounded professional in the field.

Borislav Vangelov's education history is as follows:

From 2003 to 2008, they attended the Technical University of Munich, where they obtained a Diplom degree. This degree combines a Bachelor's and Master's degree in Computer Science.

In 2009, they enrolled at Imperial College London and pursued a Master of Research degree in Biomedical Research, which they completed in 2010.

Following that, from 2010 to 2014, they continued their education at Imperial College London, where they achieved a Doctor of Philosophy (PhD) degree in Mathematics and Computer Science.

These are the specific educational experiences of Borislav Vangelov based on the provided chronological information.