Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Neal Katz
Director of Solutions Marketing
Connect with Neal Katz on LinkedIn
Website: http://www.elsevier.com
About the author:
Neal Katz has over 20 years of experience bringing information technology solutions to market. As Senior Manager of Solutions Marketing at Elsevier, Neal has been responsible for assembling information solutions for life science companies, as well as academic and government institutions. He has developed similar solutions and programs at companies like AT&T and Intel.
Posts by Neal Katz
What’s ahead for the Life Sciences industry?
Posted on December 30th, 2019 in Pharma R&D
As the year comes to a close, we’re thinking about trends in the landscape and where the industry is headed. What do some of the members of Elsevier’s Life Sciences team think?
Tom Pianko VP of Global Key Accounts, counts machine learning, artificial intelligence, data normalization and advance analytics tools among the trends that point to where the Life Sciences industry is going—and many of his colleagues agree.
(more…)What were the most important lessons in Life Sciences in 2019?
Posted on December 20th, 2019 in Pharma R&D
As 2019 comes to a close, we asked members of Elsevier’s Life Sciences team:
What were the biggest lessons or most noteworthy developments in the Life Sciences industry this year?
(more…)Help data sets along on their journey to meaningful insights
Posted on September 25th, 2018 in Chemistry
Applying data sets to solve complex problems can be a challenging task, and Elsevier seeks talented individuals in data science and other fields to join us in our mission to lead the way in advancing science, technology and health. (more…)
Upcoming Symposium Applies Big Data methods to Cheminformatics and Retrosynthetic analysis
Posted on July 27th, 2018 in Pharma R&D
Although the fields of cheminformatics and retrosynthetic analysis have been well established for a number of decades, there has recently been a large increase in applying methods from the world of Big Data and Predictive Analytics to the field of chemical reactions. (more…)
