CareSet Names Sepideh Naseri Chief Data and Analytics Officer
CareSet has appointed Sepideh Naseri as its Chief Data and Analytics Officer, a newly created role to lead the company’s data science and analytics operations, announced in a press release.
Naseri brings over 20 years of experience in healthcare and financial services analytics, with a background in building AI platforms that meet strict privacy and governance standards. At CareSet, she will oversee data science, engineering, and analytics functions, focusing on integrating new data assets, developing machine learning pipelines, and maintaining quality protocols used by pharmaceutical and biotech clients.
According to CareSet co-founder and CEO Ashish Patel, Naseri will drive the company’s strategy to scale its Medicare and Medicaid analytics systems while maintaining compliance with regulatory requirements. Naseri holds a master’s degree in Artificial Intelligence and Robotics from Tehran University and has completed executive education at the University of Virginia’s Darden School of Business.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 29 University Medical Center Göttingen Adopts MDClone Clinical Data Platform Sep 29 LUNGevity Awards $2 Million for Lung Nodule Risk Studies Sep 28 Deep Longevity to Launch Accrua Telehealth Platform in US Sep 28 United Imaging Intelligence Releases Medical Video AI Framework Sep 28 Orca Dental AI Brings CephX Imaging Tools to Planet DDS Cloud 9Life AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
SENA Health Raises Series A for AI Care Coordination
Cognetryx Names Julia Cherashore to Advisory Board
Sensei Partners With Zentist for Dental EOB Automation
Jarrard Expands AI Consulting Team
Kairon Health Raises $5 Million for AI Care Operations Platform
Daily AI Brief: the AI news that matters, in your inbox.