GenBio AI Welcomes Emma Lundberg as Co-Founder and Chief Scientific Advisor

Jun 17, 2025
GenBio AI has announced the appointment of Dr. Emma Lundberg as Co-Founder and Chief Scientific Advisor, focusing on developing the company's data strategy and scientific initiatives.
GenBio AI Welcomes Emma Lundberg as Co-Founder and Chief Scientific Advisor

GenBio AI has announced the appointment of Dr. Emma Lundberg as Co-Founder and Chief Scientific Advisor, as stated in a press release. Lundberg will focus on advancing GenBio AI's data strategy and scientific initiatives, contributing to the development of the world's first AI-driven Digital Organism (AIDO).

Dr. Lundberg is a recognized expert in spatial proteomics, bioimaging, and artificial intelligence. Her previous roles include Associate Professor of Bioengineering and Pathology at Stanford University and Professor at KTH Royal Institute of Technology in Sweden. She also directs the Cell Atlas of the Human Protein Atlas project, which aims to map the spatial organization of the human proteome.

Eric Xing, Co-founder and Chief Scientist at GenBio AI, highlighted Lundberg's visionary work in understanding cellular architecture through AI and imaging. Her leadership is expected to be instrumental in developing virtual cells and tissues using AI foundation models, moving towards the creation of an AI-driven digital organism.

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:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

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 more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.