The challenge with automating healthcare technology is that the stakes are very high, since lives are on the line..— Sujit Pal, Technology Research Director
Principal NLP Scientist
What I like about working on machine learning here at Elsevier is that we can combine theory with practice.
One of the most exciting projects that we’re working on right now will allow us to easily extract information on who funded a given study. This will make life a lot easier for funding bodies, who can then easily find the output of the research they’ve sponsored, but also for researchers, who often have to report back to funding agencies, costing them a lot of time. What I like about working on machine learning here at Elsevier is that we can combine theory with practice. We do research, have patents and even publish papers, and we then get to use this new knowledge to develop new functionalities for products that can actually help improve research.
Georgios Tsatsaronis is the Principal Natural Language Processing (NLP) Scientist with the Content and Innovation Team.
More on Machine Learning from our tech employees
If machine learning could improve the quality of science, this would have huge implications on the price and speed of drug manufacturing..— Helena Deus, Senior Technology Researcher
The data that we have at Elsevier is a goldmine of information for a lot of interesting and intelligent things..— Deep Kayal, Machine Learning Engineer