Daniel Sand, PhD
About Daniel Sand, PhD
Daniel Sand, PhD, is a Senior Researcher and Data Scientist currently employed at Eleos Health. He has a diverse academic background in Neuroscience, Multidisciplinary Brain Research, and Computer Science, with extensive experience in research and data science roles.
Work at Eleos Health
Daniel Sand serves as a Senior Researcher and Data Scientist at Eleos Health. He has been in this role since 2021, contributing to the company's focus on integrating artificial intelligence with healthcare solutions. His work involves analyzing data and developing methodologies that enhance the understanding of brain-related health issues.
Education and Expertise
Daniel Sand holds a Doctor of Philosophy (PhD) in Neuroscience from The Hebrew University of Jerusalem. He also earned a Master of Science (MSc) in Multidisciplinary Brain Research from Bar-Ilan University, where he was involved in research at the Brain Machine Interfaces Lab. Additionally, he completed a Bachelor of Science (B.Sc) in Computer Science and Biology at Haifa University.
Background
Daniel Sand has a diverse academic and professional background in neuroscience, computer science, and data science. He began his studies in Computer Science and Biology at Haifa University from 2007 to 2011. He then pursued a Master's degree at Bar-Ilan University, followed by a PhD at The Hebrew University of Jerusalem, focusing on neuroscience.
Previous Experience at elminda
Prior to his current role, Daniel Sand worked at elminda from 2015 to 2021. He held positions as a Researcher and Data Scientist and later as a Deep Learning Team Leader. In these roles, he focused on developing deep learning algorithms and conducting research that contributed to advancements in brain health technologies.
Research Contributions
During his academic career, Daniel Sand contributed to various research projects, particularly in the field of brain-machine interfaces. His work at Bar-Ilan University under Professor Izhar Bar-Gad involved hands-on research that laid the groundwork for his later studies in neuroscience and data science.