Oded Rosolio
About Oded Rosolio
Oded Rosolio is a Data Scientist with expertise in graph theory and reaction networks. He currently works at Duality Technologies in Tel Aviv, Israel, and has a strong background in mathematical modeling of biological systems.
Work at Duality Technologies
Oded Rosolio has been employed as a Data Scientist at Duality Technologies since 2021. His role involves applying advanced data analysis techniques and mathematical modeling to support the company's initiatives. Duality Technologies focuses on privacy-preserving data analysis, and Rosolio's expertise contributes to the development of innovative solutions in this domain.
Education and Expertise
Oded Rosolio completed his academic journey at The Hebrew University of Jerusalem, where he earned a Doctor of Philosophy (PhD) in Physics. He also holds a Master of Science (M.Sc.) in Physics, achieved between 2010 and 2013, and a Bachelor of Science (B.Sc.) in Physics from 2007 to 2010. His academic background is complemented by expertise in graph theory, reaction networks, and mathematical modeling of biological systems.
Background
Oded Rosolio's academic career at The Hebrew University of Jerusalem spanned from 2007 to 2013, during which he served as a student and teaching assistant. This six-year period allowed him to gain practical experience in the academic environment while deepening his knowledge in physics. His foundational education laid the groundwork for his subsequent career in data science.
Programming Skills
Oded Rosolio possesses strong programming skills in C, C++, and MATLAB. These skills are essential for his work in data science, particularly in the areas of algorithms and mathematical modeling. His proficiency in these programming languages enables him to develop and implement complex models and analyses in his current role.
Career Opportunities
Oded Rosolio is actively seeking new opportunities in the fields of algorithms or programming. His background in data science, combined with his programming skills and expertise in mathematical modeling, positions him well for roles that require analytical thinking and technical proficiency.