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.
- Contact Information
- E-Mail: daniel@ariad.org
- Employment History
- Senior Data Scientist, PrognomiQ Inc, San Mateo, California (2024–Present)
- Bioinformatics Data Scientist, PrognomiQ Inc, San Mateo, California (2022–2024)
- Postdoctoral Researcher, Johns Hopkins University, Baltimore, Maryland (2020–2022)
- Postdoctoral Researcher, Indiana University Bloomington, Bloomington, Indiana (2019–2020)
- Graduate Researcher, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2013–2018)
- Master's Researcher, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2009–2013)
- Education
- PhD in Theoretical Condensed Matter Physics, Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2013–2018)
- M.Sc. in Astrophysics, Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2009–2012)
- B.Sc. in Physics, Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2006–2009)
- Journal Referee
- Referee for the American Physical Society: Physical Review Letters and Physical Review B (2015–2019)
- Reviewer of manuscripts for Nature Portfolio Journals: Nature, Nature Communications (2020–2024)