Put AI to Work
April 15-18, 2019
New York, NY
Maryam Jahanshahi

Maryam Jahanshahi
Scientist, TapRecruit

Website

Maryam Jahanshahi is a research scientist at TapRecruit, a platform that uses AI and automation tools to bring efficiency and fairness to the recruiting process. She holds a PhD from the Icahn School of Medicine at Mount Sinai, where she studied molecular regulators of organ-size control. Maryam’s long-term research goal is to reduce bias in decision making by using a combination of computation linguistics, machine learning, and behavioral economics methods.

Sessions

1:50pm–2:30pm Wednesday, April 17, 2019
Beyond Word2Vec: Using embeddings to chart out the ebb and flow of tech skills
Case Studies, Machine Learning
 Location: Sutton South
Secondary topics:  AI in the Enterprise, Text, Language, and Speech
Maryam Jahanshahi (TapRecruit)
Average rating: *****
(5.00, 6 ratings)
Word embeddings such as word2vec have revolutionized language modeling. Maryam Jahanshahi discusses exponential family embeddings, which apply probabilistic embedding models to other data types. Join in to learn how TapRecruit implemented a dynamic embedding model to understand how tech skill sets have changed over three years. Read more.