31 Aug 2022 , 06:00 PM

Data Science beyond packages and libraries


Glasgow

 

Synopsis

In this presentation, members of the Optima Partners Data Science Practice will traverse the myriad ways in which data-augmented decisioning is supported outside of a universe of packages and libraries routinely used by data scientists. We will explore the boundaries of existing packages, discuss engineering ways to operate beyond-code and motivate the development of innovational algorithms to meet outstanding need in industry. We will frame the journey in Health, Carbon and Customers and welcome audience participation throughout.

 

Speaker Bio

 

  • Dr Zhana Kuncheva is a Lead Data Scientist at Optima. Zhana holds a PhD in machine learning and high-dimensional modelling with research and industry collaborations centred on drug discovery - leveraging human genetic information to improve drug target identification and validation.?

  • Dr Manjula Dissanayake is a Lead Data Scientist at Optima. Manju holds a PhD in artificial intelligence, has extensive expertise and experience in banking and health, and significantly bridges the gap between data science and software engineering.

  • Scott Pirrie is a Lead Data Scientist at Optima. Scott has many years’ experience in advanced machine learning (ML) across insurance, financial services and telco. Scott led a pioneering project in the use of loyalty data for better lending in Asia and has designed and built numerous ML solutions deployed in blue-chip organisations. Scott is also currently studying part-time for a PhD in topological data science in health at the University of Edinburgh. 

  • Chaired by Kris McFadyen, MBN Solutions Associate Director – Data


 

Agenda

 

6:00 PM – 6.30 PM: Networking (Drinks & Pizza)

 

6.30 PM – 7.30 PM: Speaker –Presentation + Q&A

 

7.30 PM - 8.30 PM: Networking and Drinks





 

Location

MBN Solutions

112 West george Street

Glasgow

G2 1PN