At the heart of the reproducibility crisis in the sciences is the widespread misapplication of statistics. Data science relies on the same statistical methodology as these scientific fields. Can data scientists learn to avoid the same crisis of integrity? Clare Gollnick, CTO of Terbium Labs, considers the philosophy of data science and shares a framework that explains (and even predicts) the likelihood of success of a data project.
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About our speaker:
Dr. Clare Gollnick is the CTO of Terbium Labs, which offers a dark web data monitoring solution for quickly finding stolen data and minimizing the damage caused by a data breach. As a statistician with a Ph.D. in engineering, Dr. Gollnick joined Terbium Labs in April of 2016 as Chief Data Scientist responsible for designing the algorithms that direct Terbium's automated crawl of the Dark Web then was promoted to CTO.
+ See one of her previous interviews at This Week in Machine Learning (TWiML) here: https://twimlai.com/twiml-talk-121-reproducibility-philosophy-data-clare-gollnick/
- Doors at 6:15 pm (there will be someone downstairs checking you in)
- Talk begins promptly at 7 pm with Q&A
- Networking & Drinks!
Food & beverages will be available.