Longevity science, tech, and policy lightning talks!

Please RSVP here: https://luma.com/gpz4wljv

Anyone working on or researching longevity science, tech, or policy is welcome to speak!

​Schedule:
​6:30 - 7:00 room setup (come early to hang out)
7:00 - event kick off - each person gives a 10-15 minute talk + Q&A
~8 - 9 - networking and socializing

This event is taking place as part of Boston Longevity Week.

​Sponsored by the Metascience Observatory and Mind First Foundation.

​If you are interested in speaking, contact Dan Elton by emailing dan @ metascienceobservatory dot org.

​Confirmed speakers so far:

​Gennady Stolyarov II is an actuary and essayist who serves as Chair of The United States Transhumanist Party. He regularly produces YouTube Videos and runs weekly "Virtual Enlightenment Salons" discussing life extension, politics, philosophy, and related subjects. In 2013 he published Death is Wrong, an ambitious children’s book on life extension.

​Preston Estep, PhD is Founder and Chief Scientist of the Radvac, an innovative biosecurity nonprofit based on Waltham, MA. He holds a Ph.D. in Genetics from Harvard University, where he was advised by George Church. Dr. Estep has been a co-founder and advisor to many startup companies and nonprofits across the frontiers of genetics, longevity, and AI.

Ian Huyett is a civil and constitutional litigator and policy advocate who has served as the primary lobbyist for more than a dozen state laws in New Hampshire. He is a member of the Board of Directors of Granite Bio Innovation, which works to make New Hampshire a hub for longevity and frontier biotechnology through policy advocacy and education. Ian has published academic work on law and technology and is an advocate for state-based access to emerging experimental therapies. He received his J.D. from Washington and Lee University.

​Dan Elton, PhD is founder of the Metascience Observatory, a non-profit focused on improving rigor and reproducibility in science. The Metascience Observatory is developing tooling for enabling AI to audit the data, calculations, and images of scientific papers at scale. He obtained a Ph.D. in physics in 2016 from Stony Brook University and was a staff scientist at NIH for four years, focusing on AI applications in medical imaging, healthcare, and genetics.