Neuroscience, Data Science & Ways to Support LGBTQ+ Professionals in Tech w/ Dr. Rebecca Pope @Roche (Episode 151) #DataTalk

Every week, we talk about important data and analytics topics with data science leaders from around the world.  You can subscribe to the DataTalk podcast on iTunes,  Google PlayStitcherSoundCloud, and Spotify.

DataTalk features data science leaders at MIT, Caltech, United Nations, Gartner, Twitter, Salesforce, Amazon, UBER, IBM, LinkedIn, Spotify, Dow Jones, and dozens of other startups and top data companies.

In this week’s #DataTalk, we chat with Dr. Rebecca Pope, who is transitioning to a new role at Roche as their UK Digital & Data Science Innovation Lead. In today’s episode, Rebecca talks about her career journey as she decided to become a data scientist after studying neuroscience, she gives advice to teens considering a STEM career path, and she discusses ways to support LGBTQ+ colleagues beyond pride month.

Video Highlights from the Conversation:

This show is hosted by Destiny White and Mike Delgado. Please reach out with suggestions for future topics or guests.

You can also catch the full video interview here.

About Dr. Rebecca Pope

Dr. Rebecca Pope (she/her) is a Clinical Neuroscientist and previous Director of Data Science & AI for KPMG UK. Before joining KPMG in 2017, Rebecca worked as a data scientist at IBM and researcher at The National Hospital for Neurology & Neurosurgery, UCLH, and the Wellcome Centre for Human Neuroimaging, UCL.

In July, Rebecca will be joining the global biotechnology healthcare company, Roche, as their ‘UK Digital & Data Science Innovation Lead;’ working with an ecosystem of partners towards personalized healthcare within Oncology and Rare Diseases.

Rebecca is a regular keynote speaker at international conferences, has delivered a TEDx talk titled ‘How can AI help our NHS and should we be concerned?;’ was voted as ‘The Most Influential Women in UK Tech (2019 & 2020); is an honorary Data Scientist at Great Ormond Street Hospital’s DRIVE Unit, Ph.D. supervisor, and Senior Research Fellow at UCL (ICH), specializing in the application of machine learning to real-world problems in healthcare. Rebecca has published several academic research papers, written several scientific commentaries in The Times and The Guardian, and is the recipient of National awards for her research.

Rebecca is a passionate advocate of diversity and inclusion. She is an active member of several networks (StonewallOneHealthTechSheCanCode) that encourage an inclusive environment where everyone feels empowered.