Speaker Profile

MBA, CEO, BeanStock Ventures

Shawnnah Monterrey is the CEO and founder of BeanStock Ventures, with 20+ years’ experience in medical and life science software product development. BeanStock Ventures is an FDA accredited third party 510(k) review organization. Prior to founding BeanStock Ventures, she obtained a bachelor’s degree in computer science from the University of California, San Diego and an Executive MBA from San Diego State University, then went on to hold product development management positions across numerous global firms, including Illumina, Invetech, Medtronic and Carl Zeiss Meditec. During her time at Carl Zeiss Meditec, Shawnnah and her team successfully launched and obtained several 510(k) clearances for an AI based glaucoma diagnostics and monitoring application, using a neural network and support vector machine, in the early 2000s.

AI & Data Science Showcase:
BeanStock Ventures

BeanStock Ventures is an FDA accredited 3rd party review and software product development organization in the life science, digital health and medical device industry.

FDA Regulation, A Peek into AI Proposed Regulatory Framework
Artificial intelligence applications rely on diverse datasets to make informed decisions. As datasets grow, algorithms improve in sensitivity and specificity. The challenge remains, how to handle this from a regulatory perspective without hindering innovation and delaying products into the market?

 Session Abstract – PMWC 2022 Silicon Valley

Track 7 - June 28 10.00 A.M.-1.15 P.M.,Track 7 - June 29 11.00 A.M.-1.15 P.M.,Track 7 - June 30 9.00 A.M.-11.15 A.M.

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.


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