Meet Amazing Data Women - Talks on AI, Neural Networks & ML

The goal of the community is to bring together women who work with data or who would like work in data – to support one another, share experiences and knowledge, establish meaningful connections and talk data. The community sets out to connect and inspire amazing data women with diverse expertise and experience so they can learn from each other — whether it’s students just embarking on their careers or seasoned data leaders.

At this event, we’ll hear talks from some amazing women on the topics of Artificial Intelligence, Neural Networks, Machine Learning. So come along, ask questions and meet other women who love data!

Agenda:

• 18:30- 19:00 Networking with pizza & drinks
• 19:00- 20:00 Lightning talks from our women in data speakers and Q&A
• 20:00- 21:00 Networking & wrap-up

Speakers:

• Silvia Maggi (https://twitter.com/simaggi1) is a Researcher at the University of Manchester. She has spent years tinkering in her lab crunching biological data to understand mechanisms that control behaviour and brain functions. She is particularly interested in studying network dynamics underlying learning and memory. She is also a hobbyist photographer but primarily, she is a computational neuroscientist trying to crack the magic code of the brain.

• Rebecca Davey (https://twitter.com/suprahoopla) is a data scientist at traffic company INRIX. After starting out in physics and software development, she is now a spatial data expert and spends her time developing algorithms and applying machine learning to a range of interesting problems. She is happiest when playing with maps or building tools.

• Clara Higuera Cabanes (https://twitter.com/clarahiguerac), Data Scientist at BBC. Clara has a background in computer science. After graduating she carried out her PhD in Bioinformatics and Artificial Intelligence in Spain. Her thesis was focused in the application of machine learning methods for the study of metabolism. After her PhD she became interested in Data Science in industry and attended a Data Science Bootcamp in New York. Afterwards she worked for a while in a start up on line newspaper in Spain. Now she works in BBC as a data scientist helping to better understand BBC audience with the help of data and ML. Always happy to share her experience in Data Science.

• Magda Piatkowska (https://twitter.com/magdapiatkowska), Lead Data Scientist at BBC. Magda left academia as a systems engineer and computer scientist. She spent her fist years of a career in Dublin building data infrastructure in a Telco company. Then moved to gaming industry to join Silicon Valley’s Zynga. In the UK for last few years helping publishers and broadcasters build their data science capabilities. Started in Channel 4, then Telegraph and currently the BBC News focusing on ML driven newsroom transformation. Keen speaker and promoter of ethical and accessible ML in the industry. Member of a Data Science RSS committee.

Thank you to our sponsors Niche Talent, part of the Rullion Group (https://www.nichetalent.com/), for kindly supporting our events!

We also thank Silvia Maggi and the Data Science Institute, University of Manchester (https://twitter.com/dsi_uom) for funding towards this event!

A reminder that our events are open to anyone who identifies as a woman :)

Follow us on Twitter (https://twitter.com/herplusdatamcr) for updates!