HealthTech Executive — AI Strategy — Clinical Science

Daniella
Gilboa

Founding CEO turning frontier AI into clinical standards of care

Ten years bridging machine learning, embryology, and the boardroom, with the record to back it up: tens of millions raised, global partnerships built, and a body of peer-reviewed research behind every claim.

Ra'anana, Israel daniella.gilboa@gmail.com
Executive Summary

Most AI in healthcare stalls at the same point: the gap between a working model and a validated clinical tool. Closing that gap, repeatedly, is the work.

Founding CEO and HealthTech executive with ten years of experience commercializing deep-tech innovation in one of medicine's most sensitive domains. As Co-Founder and CEO of AIVF, I built and scaled an AI-powered embryology platform from a research concept into a tool adopted by IVF clinics worldwide, raising tens of millions of dollars from top-tier US venture capital firms and forming partnerships with major fertility networks across the US and healthcare providers in Europe along the way.

Alongside operating AIVF, I serve as Chair-Elect of the Artificial Intelligence Special Interest Group at the American Society for Reproductive Medicine and sit on its Technology Committee, helping define the guidelines and ethical standards that will govern how AI is used in fertility care globally. My academic foundation in epidemiology, biostatistics, and clinical embryology is what lets me move fluently between a data science team, a clinical advisory board, and an investor update without losing precision in translation.

Current · 2025
Chair-Elect, AI Special Interest Group
American Society for Reproductive Medicine (ASRM)
Since · 2020
Technology Committee Member
American Society for Reproductive Medicine (ASRM)
Track Record

AIVF

Co-Founder & CEO

  • Built and scaled an AI and computer vision platform for embryo evaluation, now used by IVF clinics around the world.
  • Raised tens of millions of dollars in capital from leading US venture firms and strategic healthcare investors.
  • Formed commercial partnerships with major fertility networks in the US and healthcare providers across Europe.
  • Led a cross-functional team of data scientists, embryologists, and engineers, and steered the company through complex financial and governance transitions while protecting its clinical integrity and intellectual property.

American Society for Reproductive Medicine

Chair-Elect, AI Special Interest Group (2025–Present) · Technology Committee Member (2020–Present)

  • Elected in 2025 to lead the global committee shaping guidelines, education, and ethical standards for AI adoption in fertility medicine.
  • Advises the ASRM board on the evaluation and clinical integration of emerging technologies.

Independent Research

Corporate Law & Innovation Policy

  • Conducting comparative research on corporate governance and incentive structures in technology companies, comparing Israeli and US legal frameworks.
  • Writing a policy paper on the "value cliff" in IP-heavy companies, proposing frameworks to align stakeholder interests during corporate transitions.

Teva Pharmaceuticals

Senior Biostatistician, Global Statistics

  • Led statistical strategy for global clinical trials, ensuring regulatory compliance with FDA and EMA standards.
  • Translated complex clinical data into findings executive stakeholders could act on.

Assuta Medical Center

Senior Clinical Embryologist & Biostatistician

  • Managed advanced micromanipulation and embryology procedures in one of the world's largest IVF units.
  • Ran internal data analysis projects that identified clinical trends and improved treatment success rates.
Recognition & Thought Leadership

Published Research

Peer-reviewed work on AI validation, time-lapse imaging, genetic screening, and teratogenicity, published in:

  • Nature Communications
  • Human Reproduction
  • Fertility and Sterility
  • Reproductive BioMedicine Online
  • Advanced Science

28 publications · 71 citations · View full list →

Speaking & Memberships

Invited speaker at ASRM and ESHRE. Keynote speaker on "Computational Embryology" at the World Conference on AI in Fertility.

  • ASRM
  • ESHRE
  • Israeli Fertility Association (AYALA)
Education & Credentials
  • M.Sc., Epidemiology and Biostatistics
    Tel Aviv University, Faculty of Medicine
    2013
  • M.Sc. studies, Immunology
    Bar Ilan University
    2001
  • B.Sc., Biological Sciences
    Bar Ilan University
    2000

Certifications in Genomics and Bioinformatics (Bar-Ilan) and Pharmacokinetics (Hebrew University). Member of ASRM (USA) and ESHRE (Europe).