PSI ToxSIG Webinar: Beyond the looking glass - Interpreting animal welfare & behaviour by monitoring & assessing mice activity data
Analysing continuously collected locomotive activity data to interpret mice welfare and behaviour.
The last 15 years has seen a massive shift in the role of data and analytics, driven by the increased hype around big data, data science, machine learning and AI. This presents both challenges and opportunities for analytic teams. This webinar will strip back the hype to look at what these buzzwords really mean, and talk about the impact this is having on the role, remit and operating model of analytic teams in the life sciences industry.
Date: Tuesday 14th January 2020
Time: 14:00 - 15:00 GMT
Speaker: Richard Pugh (Mango Solutions)
Registration: To register for this free event, please click here.
Richard Pugh is Mango’s Chief Data Scientist, and has over 20 years’ experience of helping organisations add value with data and advanced analytics. As co-founder of Mango, Richard has led a wide range of ground-breaking data science projects for some of the most forward thinking companies in the world.
During his two decades in the industry, Richard has become a leader in the Data Science field. He started out with a BSc in Mathematics and Statistics from Bath University, which led to work as a consultant in the pharmaceutical sector. In 2002 he co-founded Mango, which allowed him to make his vision of proactive, data driven business culture a reality. In his day-to-day role, Richard spends much of his time advising clients from a variety of industries on data-driven strategies, while keeping up-to-date with the cutting edge commercial applications of data science.Richard is incredibly passionate about supporting the R and Data Science communities. He co-authored the book “R in 24 Hours”, was the first president of the R Consortium, sits on the RSS Data Science Section Committee and regularly speaks at events. Richard uses his experience to help companies make better decisions through data, and remove any perceived constraints on the limits of data science, sharing that it can inform and transform all aspects of a business.