Speaker Profile

Co-Founder and Chief Technology Officer, Syntegra

Ofer Mendelevitch has led technical development at Syntegra since its inception, where he has pioneered the use of generative language models to create synthetic healthcare data. Prior to joining Syntegra, Ofer served as Vice President of Data Science at Helix, a population genomics company. He has extensive experience leading complex state-of-the-art machine learning software projects across industries, having previously led data science and engineering teams at several companies, including LendUp, Hortonworks and Yahoo!. Ofer has published several papers and is the author of the book, “Practical Data Science with Hadoop and Spark.”

AI & Data Science Showcase:

Syntegra is the first healthcare company to leverage the breakthrough of machine learning language models (similar to GPT-3) to create patient-level, synthetic healthcare data that maintains full statistical fidelity and patient privacy, enabling increased data use and value across healthcare.

Innovative Machine Learning Models to Democratize Healthcare Data
AI-enabled synthetic data offers a unique solution to the long-standing challenges inhibiting access to healthcare data. We will discuss how modern language models are used by the Syntegra engine to generate synthetic healthcare data with high fidelity and guaranteed privacy.

 Session Abstract – PMWC 2022 Silicon Valley

Track 7, June 28-30

The PMWC 2022 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.