with Atul Butte (
@atulbutte), Daphne Koller (
@daphnekoller), and Vijay Pande
(
@vijaypande) Whether you’re an academic seeking to move out of research and
into industry, or simply interested in working at a bio startup, this episode
of the a16z Podcast is for you. It covers everything from how to build a brand
in the space when you don’t have one to how the bio and how the healthcare
startup ecosystem is different from traditional tech (or traditional pharma),
to how to choose the right co-founder -- or even identify what problems to
solve and build a company around. The discussion (which is based on a recent
event at Andreessen Horowitz) features Atul Butte, Distinguished Professor and
Director of the Institute for Computational Health Sciences at UCSF; and
Daphne Koller, founder and CEO of insitro (former professor at Stanford, co-
founder of Coursera); in conversation with a16z bio team general partner Vijay
Pande. Together, they provide practical how-to's -- for those coming from
machine and deep learning backgrounds, but also for anyone, really -- for how
to break into the bio space.
Read more
with Atul Butte (
@atulbutte), Daphne Koller (
@daphnekoller), and Vijay Pande
(
@vijaypande) Whether you’re an academic seeking to move out of research and
into industry, or simply interested in working at a bio startup, this episode
of the a16z Podcast is for you. It covers everything from how to build a brand
in the space when you don’t have one to how the bio and how the healthcare
startup ecosystem is different from traditional tech (or traditional pharma),
to how to choose the right co-founder -- or even identify what problems to
solve and build a company around. The discussion (which is based on a recent
event at Andreessen Horowitz) features Atul Butte, Distinguished Professor and
Director of the Institute for Computational Health Sciences at UCSF; and
Daphne Koller, founder and CEO of insitro (former professor at Stanford, co-
founder of Coursera); in conversation with a16z bio team general partner Vijay
Pande. Together, they provide practical how-to's -- for those coming from
machine and deep learning backgrounds, but also for anyone, really -- for how
to break into the bio space.
Read less