Women in Tech Career Panel
All I Schoolers are welcome to join us for an all-female career panel discussing their careers in tech.
Panelists
- Charlotte Campbell (Periscope)
- Rui Chen (McKinsey & Company)
- Lisa Kirch (Citi)
- Angie Roscioli (Slack)
- Danielle Russell (Kountable)
- Rachael Tatman (Kaggle)
- Moderator: Yoonjung Lee (MIDS postdoc and lecturer)
If you have any specific questions you’d like to ask ahead of time, please send them to the moderator, Yoonjung Lee.
Charlotte Campbell double majored at the University of Michigan in Computer Engineering and Theater Arts. She worked for 3 years at Manhattan Associates, which is a supply chain management company, as a professional services consultant. For the last 2 years she's been a customer solutions engineer for Periscope Data.
Rui Chen is a consultant at McKinsey & Company. She primary serves clients on business technology transformation, and digital strategy topics. Prior to joining McKinsey, she worked in the strategy and research department at the Taubman Company, where she led several data science initiatives. She graduated MIDS in 2017.
Lisa Kirch is currently working as a data scientist for Citi. She was part of the first MIDS cohort and she has worked for Fortune 500 businesses, government, and educational institutions. She has lived in NJ, VA, CA, FL, Lausanne (CHE), Paris (FRA), Brussels (BEL), and Malaysia (MYS).
Angie Roscioli began working at Dropbox as a rotational employee in 2013. After 3 years of trying different roles there, she decided she wanted to make the move to engineering. Now she is been a front-end software developer for Slack.
Danielle Russell is a software engineer at Kountable. She has 10 years of experience working at NGOs and fintech startups, spanning 3 continents (North America, Europe, Africa), an MBA in finance, and she is a fullstack software engineer - Python, SQL, JavaScript, d3.
Rachael Tatman is a data scientist at Kaggle. Before coming to Kaggle, she got her Ph.D. in linguistics with a focus on computational sociolinguistics. She works in both Python and R, and she is particularly interested in fairness, accountability and transparency in machine learning, data ethics, and natural language processing.