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Rahul Jerome Rahul Jerome Founder, insight-intelligence.com
Data Stories: Leaders at Work [Episode 6]

Data Stories: Leaders at Work [Episode 6]

Overcoming Gender Bias in the World of Technology


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Listen to the podcast episode here



In this episode, Rahul talks to Hannah Marcus - associate director at Discover.ai about English literature, semiotics, AI, and cultural taboos.

Hannah has been working to break down barriers in culture, technology, and health. She talks about her journey into research through semiotics and English literature, and how she ended up working for a tech startup.

How did Hannah’s degree in English literature become intertwined with her love of semiotics? Hear how she makes herself stand out from the crowd, and why it’s important to open the conversation around gender and gender politics. She gives some valuable advice to interviewees and emphasises the importance of networking.



Episode Highlights

  • “The version of yourself that you present on social media is, people only see the successful side of that.”
  • “If you can be proactive, and if you’re in an environment that lets you make those opportunities for yourself, you can do a lot with it.”
  • “When you think about networking, think about it in a couple of different ways. One of the privileges of having lots of contacts and family that pushes you to have meetings with family friends is not just so that you make contacts, but also that you get to practice talking to people that you don’t really know in a low-stakes scenario.”
  • “Treat the job interview like you’re interviewing them as well, always ask ‘what would you have expected me to ask that I haven’t asked yet?’”


About - Hannah Marcus

Hannah Marcus, associate director at Discover.ai, focuses her work on the intersection between culture and technology, particularly on topics such as sex, dating, relationships, and women’s health. She holds a Bachelor’s Degree in English Literature from Cambridge University and an MA in Cultural and Critical Studies from Birkbeck, University of London.

Hanna works with the Women’s Health Tech Hive to scope under-representation in women’s health data, and with MEND to tackle the problems of toxic masculinity and men’s emotional language. She co-hosts the Machine Unlearning podcast to question the assumptions in the tech industry and to celebrate those who work with tech in unconventional ways.

Hannah features on the GRIT Future List 2020 and was awarded the MRS Culture Insight Award in 2019 for her work on understanding Japanese modernity.


Relevant Links

Website:             https://www.discover.ai 

LinkedIn:            https://www.linkedin.com/in/hrmarcus118 

Twitter:               https://twitter.com/ai_discover 

                           https://twitter.com/sligers118?lang=en

Bloom Network:  https://www.bloomnetwork.uk/home 

MEND:                https://www.mend.world


Data Stories: Leaders at Work is brought to you by Audiense.

https://resources.audiense.com/podcast/data-stories/leaders-at-work 

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