Daniel Ariad
Physics PhD · Scientific Polymath · AI & Algorithm Architect
Applied scientist with a track record of conceiving and developing mathematical models and computational algorithms to solve complex scientific problems. My work includes solutions for cancer detection and reproductive medicine by combining statistical inference, mechanistic modeling, machine learning, and domain-specific knowledge to analyze sparse, noisy, and high-dimensional data. I enjoy turning imperfect data into reliable, actionable insights. I earned my PhD at Ben-Gurion University and conducted postdoc research at Indiana University Bloomington and Johns Hopkins.
- Contact Information
- E-Mail: daniel@ariad.org
- Employment History
- Applied Scientist, Evidium Inc, San Francisco, California (2026)
- 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 (2009–2012)
- Education
- PhD in Physics (Condensed Matter), Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel (2013–2018)
- M.Sc. in Physics (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)