Sela Fried
About Sela Fried
Sela Fried is a Machine Learning Researcher with a strong academic background in Mathematics, holding a Master's degree from Humboldt University of Berlin and a PhD from Tel Aviv University. Currently based in Petaẖ Tiqwa, Israel, she works at Pecan and Ben-Gurion University of the Negev while also serving as a Lecturer at Tel Aviv University.
Work at Pecan AI
Sela Fried has been employed at Pecan - Deep Learning Predictive Analytics since 2018. In the role of Machine Learning Researcher, she focuses on developing predictive analytics solutions using advanced machine learning techniques. Her work contributes to the company's efforts in leveraging deep learning to enhance data-driven decision-making processes.
Education and Expertise
Sela Fried holds multiple degrees in Mathematics. She earned her Bachelor's degree and Master's degree from Humboldt University of Berlin. Additionally, she completed her Doctor of Philosophy (PhD) at Tel Aviv University. Her academic background provides a strong foundation for her research in machine learning and Markov Chains.
Current Research Positions
In addition to her role at Pecan, Sela Fried has been a Postdoctoral Researcher at Ben-Gurion University of the Negev since 2020. She conducts research projects in Beersheba, Darom, Israel. Furthermore, she has served as a Lecturer at Tel Aviv University since 2016, where she shares her knowledge in mathematics and machine learning with students.
Research Focus
Sela Fried's research primarily centers on Markov Chains. She conducts this research under the guidance of Prof. Aryeh Kontorovich. Her work in this area contributes to the understanding and application of stochastic processes in various fields, particularly within machine learning.
Geographical Location
Sela Fried is based in Petaẖ Tiqwa, Central, Israel. Her professional activities span multiple locations, including her research projects in Beersheba, Darom, Israel, and her teaching responsibilities in the Tel Aviv Area.