Battery informatics researcher recognized in Forbes 30 Under 30

The rise of battery informatics has not gone unnoticed by Forbes, who announced the 2022 cohort of 30 Under 30 – Energy last week.

The list of 30 North Americans who are “powering a more sustainable future” includes a battery data analyst from Tesla.

Stanford University and University of Delaware graduate Dr. Peter Attia was named as one of the 30 on the distinguished list. Dr. Attia is widely recognized for the work he led with a team from Stanford and MIT on data-driven prediction of battery lifetime.

The article said: “Attia leads Tesla’s efforts to diagnose and predict some of its toughest battery failure modes in suppliers’ batteries and Tesla’s 4680 batteries. He obtained a Ph.D. from Stanford, where he pioneered the use of machine learning for battery lifetime prediction–creating the dataset used in the majority of academic battery lifetime studies today.“

For the full list click here.

• https://www.forbes.com/profile/peter-attia/
• https://www.forbes.com/30-under-30/2022/energy/