Recent & Upcoming Events

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Our first lightning talk event on Thursday June 14, 2018 at OppenheimerFunds was a huge success! We had a great diversity of speakers from different fields and with different backgrounds who gave talks on a wide variety of R-related topics. Below find a roundup of the lightning talks, including links to slides and videos of each talk. Enjoy! Breathing New Life into Old PowerPoint Templates: Kelly Dietz


Please join us for our next book club discussion! This book club event will include a very special appearance by the author, Meredith Broussard, so don’t miss out. Visit our Meetup page for more details and to RSVP.

Date: Saturday, July 14, 2018

Time: 11am

Book: Artificial Intelligence: How Computers Misunderstand the World

Author: Meredith Broussard

Host: Rizzoli Bookstore


We have an awesome lineup of speakers giving lightning talks! These talks are 5 minutes in length on a wide variety of R and data science topics. Come learn from your peers! Agenda: 6:30-6:55: Food & Networking 6:55-7:00: Introduction by our host 7:00-8:30: Lightning talks 8:30-9:00: Networking Talks and speakers: Using R to Analyze Recruiting Pipelines: Maryam Jahanshahi Freak Your Factors: Luda Janda Cooking Up Statistics: The Science & The Art: Letisha Smith Digital data extraction using R and other tools: Jaya Satagopan Reticulate: An R Interface to Python: Elizabeth Sweeney Who Reads Whom: Text Mining Literary Interviews: Sarah Rankin Teaching the Tidyverse to Coworkers: Erin Grand InteRactive: how to make your reports more engaging with R & Plotly: Gulya Radjapova Debugging Data in R: Hannah Flaherty Sum of Nothing: R, Python pandas, and the different ways to do math with missing data: Christine Zhang Non-Representative Polls: Jennifer Kanjana Breathing New Life into Old PowerPoint Templates: Kelly Dietz The Stories behind Missing Data: Policy and Practice in Social Services: Rika Gorn Cracking the Data Science Interview: Learning from Both Sides of the Interview Table: Catherine Zhou Visit our Meetup page to RSVP.


Come out for our May event for a tutorial on Shiny! Julia Wrobel, a PhD candidate in biostatistics at Columbia University, will be teaching us to make and deploy Shiny apps using NBA data. The materials for this talk can be found on Julia’s website. Bring your laptops so that you can code as you go! Visit our Meetup page for more details and to RSVP. Date: Tuesday, May 8, 2018


Please join us for our next book club discussion! Visit our Meetup page for more details and to RSVP.

Date: Saturday, April 28, 2018

Time: 3pm


Author: Cole Nussbaumer Knaflic

Host: Rizzoli Bookstore


Recent Blog Posts

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The 2018 New York R Conference was my first ever R conference, and it was great. I’ll write here about my experience, with links to resources from the widely varying talks. First and foremost, I want to thank RLadiesNYC for the scholarship which allowed me to attend the conference. As a self-taught R newbie and incoming grad student, I greatly benefitted from attending this conference, and I so appreciate the opportunity from this great group!


Background: remixing packages in R Javascript webscraping in R Download PhantomJS using homebrew Writing scrape.js Scraping Extracting audio files Downloading mp3s Organizing an R package Converting mp3s to wavs Cleaning up and filtering .wav file names Tidying file names Renaming file paths from within R Remixing the beep() function Wrapping it all into a package Maintaining an open source package in R Background: remixing packages in R Open source software is made for remixing.


As it grew nearer to the fall season my heart and mind grew heavier. This was the first birthday and holiday gatherings without grandma. I became distant from everything outside of my family and work, and knew I had to get out of this emotional funk. The 2017 Women in Statistics and Data Science conference brought together hundreds of data scientists and statisticians from all walks of life in an intimate setting to share their personal and professional experiences.


Stay tuned in 2018 for the R-Ladies NYC blog, which will feature guest bloggers from the R-Ladies NYC community. Interested in writing a blog post? Contact us at



Meet our board members

Soumya Kalra

Soumya Kalra is currently a quantitative analyst the within the Market Risk Group for Supervision at the New York Federal Reserve Bank. Previously she worked as a researcher at the Office of Financial Research at the Department of Treasury focusing covering commodities and private funds from a financial stability perspective. She is very passionate about using R in the statistical and data visualization work she performs in her current role. Her vision for R-Ladies New York is to create gender diverse and open forum where we can educate and contribute to the development of R as a community. She holds a Masters in Mathematical Finance and a Bachelor’s degree in Economics from Rutgers University.

Birunda Chelliah

Birunda Chelliah is a Research Analyst with the Office of Research, Evaluation, and Program Support at the City University of New York (CUNY), where she works with the development and implementation of evaluation assessments for collaborative programs and other CUNY initiatives. In addition, her experience with data related projects range in various industries from shopper marketing research for Coca-Cola at Ogilvy & Mather to quantitative program evaluation at the United Nations Department of Economic and Social Affairs. Birunda received a B.B.A from Hong Kong University of Science & Technology in Global Business and Marketing and a M.A in Data Analytics and Applied Social Research from Queens College. Lastly, she is passionate about learning and teaching R, with a focus on visualization, data-mining, statistics, research methods, reproducible research to name a few.

Interests: Data Analysis, Data Visualization, Statistics, Research Methods, Reproducible Research, Continued learning of R

Gabriela Hempfling

I graduated from Columbia University in 2013 with a degree in Economics/Math. I began using R in a datamining course. After graduation, I worked at NERA Economic Consulting and found R to be extremely useful in statistical analysis.

Interests: Statistics, economics, ethics in algorithms, data visualization, travel, pop science/math/data books, more travel.

Emily Robinson

I work as a Data Analyst at Etsy with our search team to design, implement, and analyze experiments on the ranking algorithm, UI changes, and new features. In summer 2016, I completed Metis’s three-month, full-time Data Science Bootcamp, where I did several data science projects, ranging from using random forests to predict successful projects on to building an application in R Shiny that helps data science freelancers find their best-fit jobs. Before Metis, I graduated in June from INSEAD with a Master’s degree in Management (specialization in Organizational Behavior). I also earned my bachelor’s degree from Rice University in Decision Sciences, an interdisciplinary major I designed that focused on understanding how people behave and make decisions.

Brooke Watson

Brooke Watson is a Research Scientist at EcoHealth Alliance, where she studies how the environment affects infectious disease emergence and transmission. In her work, Brooke applies epidemiological methods to study the distribution and determinants of diseases in both humans and wildlife. Brooke uses R to build economic models of the cost of pandemics, map the spatial distributions of zoonotic outbreaks, and identify health risk factors in different populations. Brooke swam for the University of Tennessee in college and earned her Masters degree in Epidemiology from the London School of Hygiene and Tropical Medicine.

Jasmine Williams

Jasmine Williams is a graduate of the Masters of Science in Biostatistics at the Mailman School of Public Health and graduated from City University of New York – Hunter College in May 2014 with a BA in Mathematics. She first became interested in biostatistics and its applications to minority health and health disparities research during the Columbia University summer program in 2013. She worked with Dr. Jose Luchsinger and Dr. Dana March (both affiliated with the Northern Manhattan Center of Excellence on Minority Health and Health Disparities) on a project entitled “Discrimination and Depression among Urban Hispanics with Poorly Controlled Diabetes” where the prevalence of type 2 diabetes and its impacts on mental health due to experiences of discrimination was investigated. She has continued this type of work at Columbia University’s Biomedical Informatics and Biostatistics departments on a project called “Mobile Diabetes Detective” which is a web-based application that aims to help individuals manage their health and currently a statistician at ActiveHealth Management.

Emily Zabor

Emily has been a board member since November 2016. Emily works as a Research Biostatistician at Memorial Sloan Kettering Cancer Center while also pursuing a DrPH in biostatistics at Columbia University. Her dissertation research is focused on statistical methods for the study of etiologic heterogeneity in cancer. In her free time, Emily enjoys riding her bike to breweries, reading books and magazines, and doing crossword puzzles. Learn more about Emily at her website.