Daniel Ariad

Data Scientist · Bioinformatics · Physics · Algorithmics · Machine Learning

Data scientist with a background in physics and bioinformatics. Combines physics-based approaches with data science to solve complex biological problems. Proven record of developing innovative machine learning solutions for early cancer detection and reproductive medicine. Skilled in statistical analysis, scientific programming, algorithm development, and modeling complex systems. Dedicated to advancing diagnostic and therapeutic technologies through interdisciplinary research. Holds a Ph.D. from Ben-Gurion University of the Negev. Completed extensive postdoctoral research 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 (2024–2025)
  • 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)

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