Daniel Ariad
Machine-Learning Scientist | Bioinformatician | Physicist
- Role
- Applied Scientist at Evidium
- Location
- San Mateo, CA, US
- LinkedIn followers
- 500 followers
About Daniel Ariad
Accomplished Bioinformatics Data Scientist with a robust foundation in physics, specializing in the analysis of molecular entities in biological fluids for complex disease detection. Expert in integrating physics-based approaches with data science to tackle complex biological challenges, with a strong record of developing innovative diagnostic solutions for early cancer detection and reproductive medicine. Proficient in computer programming, scientific algorithm development, and machine learning model implementation. Dedicated to leveraging my interdisciplinary expertise to drive the advancement of diagnostic and therapeutic technologies. Earned a Ph.D. from Ben-Gurion University of the Negev, with extensive postdoctoral research experience at Indiana University Bloomington and Johns Hopkins University.For more information check my website -
Experience
Applied Scientist
Feb 2026 — Present · San Francisco, CA, US
Education
Ben-Gurion University of the Negev
Master of Science - MS, Physics
Ben-Gurion University of the Negev
Doctor of Philosophy - PhD, Physics
Ben-Gurion University of the Negev
Bachelor's degree, Physics
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