OTTAWA, ON, June 9, 2021 / PRNewswire / – Replica Analytics today announced the formation of an advisory board and its first three members.
The three new members have extensive experience in health research, data analysis, data sharing and bringing health technological innovations to market.
Anil Sethi is the CEO of Ciitizen, which is a platform that helps patients turn paper records into calculable data, which is then linked to clinical trials, and more generally enables clinical research. He has founded seven health technology companies during his career so far.
Janice Branson is the Global Head of Advanced Methodology and Data Science at Novartis, leading global data science and statistics teams across all therapeutic areas, with a particular focus on Immunology, Hepatology and dermatology, respiratory tract and metabolism.
Jason colquitt is the CEO of Across Healthcare, which develops the Matrix software platform for the rapid deployment of rare disease registries.
“We have assembled a very strong team of advisors to help the company take the next steps of innovation and growth as we bring our Replica Synthesis software to market. The business benefits of our synthetic data generation technology are quite significant, and we have accumulated several compelling case studies and reference customers. I look forward to working with the new members of our Advisory Board to take Replica Analytics to its next set of milestones. “
Khaled El Emam, the CEO of Replica Analytics
“I am delighted to join the Replica Analytics Advisory Board. The company’s technology has the potential to change the way we access and share data, and the way we conduct clinical research. I met Khaled during my previous role as director of Apple Health Records, and I find him extremely caring. “
Anil Sethi, Replica Analytics Advisory Board and CEO of Ciitizen
About aftershock analysis Replica Analytics develops unique technologies to generate synthetic privacy protection data that maintains the statistical properties of real data. Replica Synthesis software provides a comprehensive suite of synthetic data generation and evaluation capabilities that can solve many of the major challenges facing the life science industry and health research in general. Synthetic data enables rapid innovation by accelerating the development of AI models and accelerating clinical studies through data simulations.
SOURCE replica analysis