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EI

Elizabeth Iorns

10/03/18

@ Y Combinator

The ownership of scientific results is crucial in research, and figuring out who owns the results and intellectual property can be very challenging.

Video

YC

A Conversation with Elizabeth Iorns - Advice for Biotech Founders

@ Y Combinator

A Conversation with Elizabeth Iorns - Advice for Biotech Founders

10/03/18

Related Takeaways

EI

Elizabeth Iorns

10/03/18

@ Y Combinator

It's important for scientists to navigate university tech transfer processes carefully, as universities often claim ownership of research results.

EI

Elizabeth Iorns

09/14/17

@ Y Combinator

In academia, most intellectual property is owned by universities, which complicates the process for researchers wanting to commercialize their discoveries.

EI

Elizabeth Iorns

09/14/17

@ Y Combinator

Intellectual property (IP) is crucial in biotech; owning IP is necessary to justify the investment in development and clinical studies.

AC

Allison Cooper

05/20/25

@ a16z

Intellectual Property (IP) is the biggest asset for most venture-backed companies, and having unclear IP can quickly scuttle or delay deals.

AC

Allison Cooper

05/20/25

@ a16z

It's crucial for a company to own any created IP from the start, which can be established with a simple IP assignment agreement for a nominal amount.

EI

Elizabeth Iorns

10/03/18

@ Y Combinator

Most published scientific results are not reproducible, and we should study the reasons behind this rather than blame individual researchers.

PT

Peter Thiel

03/23/17

@ Y Combinator

Scientists often believe they will be rewarded for their inventions, but the reality is that they frequently do not capture any financial value from their work.

PC

Patrick Collison

02/22/24

@ Dwarkesh Patel

In science, you need to choose important and hard problems to work on, which is a different iterative process compared to companies that decide once and iterate from there.

GA

Gustaf Alstromer

09/12/18

@ Y Combinator

Experimentation can be challenging, especially in complex products, but investing in the right infrastructure is necessary to make data-driven decisions and avoid costly mistakes.