Dr. Shuba Gopal, the Principal at Glean Signals, Research Fellow at the Conference Board, and previous people analytics leader at the Broad Institute (MIT & Harvard) and Ipsen Biopharmaceuticals, joins the Directionally Correct podcast to discuss her background in computational biology and how techniques gleaned from that field can help in people analytics. In this episode, we discuss Shuba’s experiences going to school at both Sarah Lawrence and The Rockefeller Institute, why simulations and permutation analysis should be in your people analytics toolkit for small sample sizes, Cole finally guesses right on “Research Roulette”, why Shuba dislikes the smell of bacon, and more shenanigans in the Nerdery. You’ll want to check out this episode of the #1 people analytics podcast!
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Here are the resources discussed on this episode:
Shuba's Wharton PA Presentation on Pay Equity
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#95 - Dr. Shuba Gopal - Computational Biology Helps People Analytics with Small Samples & More