Andrew Satz on the Talent Finders Podcast

Jun 15, 2020 | Blog, News | 0 comments

Daniel Gigante

EVQLV’s CEO, Andrew Satz, joined Kerrin Black of the Talent Finders Podcast to discuss his entrepreneurial journey, some of the challenges facing AI for drug discovery, his legacy and much more. Give it a listen below.

Timestamps:

Andrew’s entrepreneurial journey – 0:46

Insight into what EVQLV does – 6:05

Lessons learned in Andrew’s career – 14:17

Was this something Andrew always knew he wanted to do? – 20:27

What are some of the challenges facing artificial intelligence in healthcare – 23:28

Discussion on leadership – 30:21

Benefits of AI and the responsibility facing those developing AI – 34:08

Career highlights – 37:19

The future of medicine and telemedicine with respect to AI – 41:05

Effects of AI on privacy – 45:04

advise for entrepreneurs – 49:03

Andrew’s legacy – 55:56

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *

EVQLV and Manhattan BioSolutions Enter into Strategic Collaboration to Discover Novel Antibody-Based Therapies

The collaboration fuses EVQLV’s expertise in AI-enabled antibody design & Manhattan BioSolutions’ expertise in antibody development in oncology

Demystifying AI In Pharma

Examining AI as automated, assistive, analytical, accelerated, or augmented intelligence is a framework for thinking about how to apply these tools to data in ways that are aligned with an organization’s goals. This framework is designed to allow those who do not routinely build or employ AI to avoid the overhyped rhetoric of AI and consider the practical outcomes of employing it.

Andrew Satz on the Amplifying Scientific Innovation Podcast with Dr. Sophia Ononye-Onyia

EVQLV CEO, Andrew Satz, recently joined the Amplifying Scientific Innovation podcast with Dr. Sophia Ononye-Onyia. They discussed his definition of scientific innovation, personal anecdotes of his CEO journey and EVQLV’s unique approach to scientific innovation through the acceleration of biologic therapies with the power of artificial intelligence (A.I.).

How Our Algorithm Models the Drug Discovery Process

Our CEO, Andrew Satz, recently spoked at “Alumni in Conversation,” hosted by Columbia University School of General Studies. During the discussion, Andrew explained how EVQLV’s algorithm models the drug discovery process.

Large Pharma’s Embrace of Artificial Intelligence

The benefits of computational drug development are well known and accepted by many in the pharmaceutical space. However, since the onset of the global pandemic, consensus went from it being an interesting concept that was almost certainly the future, to something we need implemented as soon as possible. This is one of the few silver linings of the coronavirus outbreak.

Pin It on Pinterest