Hilary S. Parker

Hilary S. Parker is an American biostatistician and data scientist. She was formerly a senior data analyst at the fashion merchandising company Stitch Fix. Parker co-hosts the data analytics podcast Not So Standard Deviations with Roger Peng. She received her PhD in biostatistics from the Johns Hopkins Bloomberg School of Public Health and has formerly been employed by Etsy.
Life and education
Parker graduated from Pomona College in 2008 with a bachelor's degree in molecular biology and mathematics. After earning her MHS, she obtained her PhD in biostatistics from the Johns Hopkins Bloomberg School of Public Health in 2013. Parker resides in San Francisco.
Parker's scientific research began during her PhD in the areas of genomics and personalized medicine. Her research looked at factors like batch effects and their impact on prediction. Working alongside Jeffrey T. Leek, Parker developed methods for the application of genomic technologies in personalized medicine. Batch effects confound data produced by genomic sequencing technologies, like microarrays. Parker's work aims at correcting predictions that are influenced by the batch effect. This helps mitigate the effects of confounded genomic data. This is of importance since the data is used for diagnosis. In her dissertation, "Practical statistical issues in translational genomics," Parker proposed frozen surrogate variable analysis (fSVA) to improve prediction accuracy in public genomic studies and simulations.
Career and research
After her PhD, Parker went on to work as a data scientist in industry. Her first job was as a data analyst (later, senior data analyst) at Etsy, where she worked for approximately three years. Parker self-described her position as an internal statistical consultant, eventually focused on developing A/B testing and other experiments run by the company, along with analyzing the resulting data. Opportunity sizing, experimentation and impact analysis all play a role in how she helped the company development. The pair discuss data analytics, covering statistical computation, data cleaning, and R packages. The show is among the more popular data science and statistics podcasts, with over half a million downloads. The two also co-authored the book, Conversations on Data Science based on their conversations during the podcast. They recorded their 100th podcast episode live on stage as a keynote presentation at the RStudio-sponsored rstudio::conf 2020.
After leaving Etsy, Parker transitioned to a career as a data scientist at personal styling site Stitch Fix. The company employs a human-in-the-loop algorithmic process to generate a recommended box of clothing that is shipped to subscribers. Parker optimizes the algorithms the site uses to recommend clothes to people and helps determine what data is needed from clients to determine clothing matches. She has developed new forms of data generation, such as Style Shuffle, a "Tinder-like" way for customers to swipe left or right on outfits they like.
Parker speaks at conferences, often as a keynote speaker. She coined the term "opinionated analysis development" to describe a framework for producing robust data analysis that resembles some aspects of software design.
Selected works
Parker has contributed to several different publications and projects including the following:
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