My name is Regina Nuzzo and I’m a Professor and Communicator. I love to write and speak about all things Statistics and Data.

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Skills

Teaching

I started teaching when I was 13 (my classmates’ parents paid me to tutor their kids) and haven’t really stopped since. I currently teach statistics at Gallaudet University and summers at Stanford University, and I’ve developed courses and workshops for private companies and organizations on statistics, writing, and data communication.

Science Journalism

As a freelance science journalist since 2005 I’ve written about everything from penises to p-values, from humans’ head lice to horses’ nasal breathing strips, from the neuroimaging of criminal recidivism to the neuroscience of orgasms. A recent project involved teaming up with an artist to develop an illustrated feature about statistical issues in forensic science.

Statistics

My Ph.D. is in Statistics, and I love how stats is both the gas pedal and the brake in the scientific progress machine. Most people think of statistics as just numbers, or formulas, or maybe even methods — but I see statistics as a philosophy and outlook on the world. Statistics is like Journalism: Just like journalists find the story amid the facts, statisticians find the signal amid the noise.

Stats Speaker

I’ve given more than five dozen talks around the world on how we fool ourselves with statistics, what p-values can really tell us, how to communicate data in a human-centered way, and what journalists need to know about statistics. I’ve given several keynotes and plenaries for a variety of audiences. One of my most popular talks is titled Five Problems with P-Values as Illustrated through Five Stories about Sex.

Data

I try to give my students – and the journalists I consult for – an appreciation for mucking around in the data. I’m enthusiastic about modern tools for teaching data analysis and use R with Quarto and lots of tidyverse and real data. In my teaching I flip the typical learning process: We start with the data and harness our natural curiosity to develop questions and hypotheses — and then we learn the tools to satisfy our curiosity.

Bionic Human

I use a cochlear implant, which I’ve affectionately named “Tiny,” short for “Tiny Brain Computer.” Without it, I’m deaf. I got Tiny as an adult, after I’d already been missing a sizeable chunk of my hearing since birth. So my brain has had to learn how to hear many sounds for the first time. Adult neuroplasticity is amazing.

Professional Experience

 
 
 
 
 

Freelance Journalist and Writer

2005 – Present Washington, DC
  • Experience with features, profiles, news, and service pieces for magazines and newspapers
  • Specializing in statistics, probability, data analysis, the research process and biases, medicine, and health
  • Publications include Los Angeles Times, New York Times, Nature, New Scientist, Science News, Scientific American, Knowable, Reader’s Digest, Prevention, Good Housekeeping, AARP Magazine, ESPN the Magazine
 
 
 
 
 

Professor, Mathematics Program

Gallaudet University

2006 – Present Washington, DC
  • Teach statistics to undergraduate and graduate students
  • Provide statistical consulting to graduate students and faculty
 
 
 
 
 

Senior Advisor for Statistics Communication and Media Innovation

American Statistical Association

2019 – 2022 Alexandria, VA
  • Consulted with journalists on statistical matters, for both short-term and long-term deadlines
  • Gave statistics workshops to non-statisticians
  • Gave communication workshops and training to statisticians and other professional quantatitative analysts
  • Gave statistics workshops and training to journalists and other professional communicators
 
 
 
 
 

Adjunct Instructor

Virginia Tech

2020 – 2020 Arlington, VA campus
  • Developed and taught a course on statistics communication for Masters in Applied Statistics and Data Science program
 
 
 
 
 

Lecturer, Department of Primary Care and Population Health

Stanford University School of Medicine

2022 – Present Palo Alto, CA
  • Lecturer during summer quarter for Masters in Clinical Informatics Management Program

Other Recent Projects

A collaboration with statistician-science writers Regina Nuzzo and Kristin Sainani and funding from the Kavli Foundation enabled the Council for the Advancement of Science Writing to pilot-test a video mini-course, “Asking Questions About Data,” in the fall of 2022. Presenting case studies in a lively podcast-style debate format reinforced with problem sets that students could complete at their own pace, the two instructors showed journalists how to spot spin, fraud, and sloppy work and explain the strengths and weaknesses of new scientific results.

Whether you’re in a patient-facing role looking to implement research into your professional career or seeking how to better communicate and collaborate with colleagues working in the labs, this online clinical trials course gives you the tools you need to find answers for your health and medicine-related inquiries. Taught by Regina Nuzzo and Kristin Sainani.

With this online course, equip yourself to peer under the hood of modern statistical practices, preparing you for advanced studies in statistics, data science, and epidemiology, including the StanfordOnline Medical Statistics Program and the Clinical Trials course. Taught by Regina Nuzzo and Kristin Sainani.

Our working group was charged with advising NIH how it can help researchers improve the rigor, transparency, and reproducibility of NIH research involving animals, paying close attention to the late stages of the translational pipeline that produce new treatments for human health and disease. The overarching goal is to allow all stakeholders to have full confidence in the quality and applicability of research findings from animal studies and to ensure that animal subjects are used with appropriate consideration of ethics and harm–benefit analysis.

Opinion polls vary enormously in structure, style, and credibility, and are easy to mis- or overinterpret. At their best, opinion polls can give an accurate snapshot of broad public sentiment on an issue. But even well-constructed polls are not particularly good at measuring small shifts in opinions over time, and their ability to predict future voter choices is decidedly mixed. Among other confounders for voter polls, people often hold off before settling on a candidate—and even then they often change their minds. The following primer provides some essentials for accurate reporting on polls and surveys. Joint product of the American Statistical Association and AAAS’s SciLine.

Contact

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