Einat Shapira, PhD
About Einat Shapira, PhD
Einat Shapira, PhD, is an Algorithm Developer at Biosense Webster, with a strong background in Biomedical Engineering and Nanoscience from the Technion - Israel Institute of Technology. She has extensive experience in research and development, having previously worked as a Teaching Assistant and Research Team Member at Technion, and in R&D at KarmelSonix.
Work at BioSense Webster
Einat Shapira has been employed at BioSense Webster as an Algorithm Developer since 2019. In this role, she applies her expertise in algorithm development to contribute to advancements in medical technology. Her responsibilities include designing and implementing algorithms that enhance the functionality of medical devices. Shapira's work is characterized by her ability to integrate complex information and develop innovative solutions tailored to the needs of the healthcare industry.
Education and Expertise
Einat Shapira holds a Bachelor of Science in Biomedical Engineering from Technion - Israel Institute of Technology, which she completed from 2006 to 2011. She further pursued her education at the same institution, earning a Doctor of Philosophy in Nanoscience and Nanotechnology from 2011 to 2019. Her educational background provides a strong foundation in both engineering principles and advanced scientific research, which she applies in her current role as an algorithm developer.
Background in Research and Development
Prior to her current position, Einat Shapira gained valuable experience in research and development. She worked as a Teaching Assistant at Technion - Israel Institute of Technology from 2010 to 2019, where she supported educational activities and contributed to student learning. Additionally, she was involved in R&D and validation at KarmelSonix for one year in 2010-2011. Shapira also served as a Research Team Member at the Therapeutic Ultrasound lab during her doctoral studies, further enhancing her research capabilities.
Technical Skills and Proficiencies
Einat Shapira possesses strong technical skills, particularly in the use of Matlab and Mathematica. These tools are essential for algorithm development and data analysis in her field. Her proficiency in these programming environments enables her to create and validate complex algorithms effectively. Shapira's ability to self-learn and integrate new information complements her technical skills, allowing her to adapt to evolving challenges in algorithm development.
Communication Skills
Einat Shapira demonstrates excellent communication skills, which are vital for conveying complex technical concepts to diverse audiences. Her ability to articulate intricate ideas clearly enhances collaboration with colleagues and stakeholders in the healthcare sector. Effective communication is crucial in her role as an algorithm developer, where she must ensure that technical information is understood by both technical and non-technical team members.