Steve chats with Andromeda Yelton, software engineer and librarian at MIT, about her winding path to and through librarianship, Django cats and ALA candidate sorters, LITA’s plans and programs at ALA Annual, and why machine learning is good but will probably kill us all.

Andromeda Yelton (http://andromedayelton.com) is a software engineer and librarian. Currently she is at the MIT Libraries; in the past she has written code for the Wikimedia Foundation, bespoke knitting patterns (http://customfit.makewearlove.com) and library space usage analytics (http://measurethefuture.net/), among other things. Previously, she was a jack of all trades at the open-licensed-ebook startup Unglue.it; taught Latin to middle school boys; and was a member of the Ada Initiative advisory board. She has a BS in Mathematics from Harvey Mudd College, an MA in Classics from Tufts, and an MLS from Simmons. She’s a 2010 LITA/Ex Libris Student Writing awardee, a 2011 ALA Emerging Leader, and a 2013 Library Journal Mover & Shaker; and a past listener contestant on Wait, Wait, Don’t Tell Me.  She is President of the Library & Information Technology Association.

SHOW NOTES

Andromeda on Circulating Ideas with Eric Hellman re: Unglue.it hamlet.mit.edu">Hamlet: How About Machine Learning Enhancing Theses?