R-Ladies NYC is part of a world-wide organization to promote gender diversity in the R community.
We aspire to encourage and support women and gender minorities interested in learning and sharing their experiences in R programming by hosting a variety of events including talks, workshops, book clubs, data dives, and socials.
For more information about R-Ladies Global, visit rladies.org.
R-Ladies is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. We follow the R-Ladies Global code of conduct.
See our Meetup Page for the most up-to-date info about our upcoming events!
Emily Dodwell is a Principal Inventive Scientist in the Data Science and AI Research organization at AT&T Labs, where she currently focuses on predictive modeling for advertising applications, the creation of interactive tools for data analysis and visualization, and research concerning ethics and fairness in machine learning. Emily is an R enthusiast committed to promoting gender diversity in the community, and she is a member of Forwards, the R Foundation task force on women and other underrepresented groups. Prior to joining AT&T Labs in 2015, Emily taught high school math for three years at Choate Rosemary Hall. She received her M.A. in statistics from Yale University and B.A. in mathematics from Smith College.
Anisha BharathSingh (she/her) is a digital marketing expert with four years of experience using data to tell stories and discover opportunities for growth in the digital space. Her passion for R started as an Economics undergrad at Bryn Mawr College and she has since explored R, Data Science and Data for Social Good through Meetups like R-Ladies NYC and the creation of her own data science blog. She is now pursuing her Master of Science in Analytics at The University of Chicago to expand upon her data science and analytics skills.
Alejandra works in fundraising in social organizations (now at the ACLU, previously at TECHO and Doctors Without Borders). With the goal to become more data-driven in her work, she earned an MBA from Duke University. There, she discovered R and fell in love with all things related to business intelligence and marketing analytics. Since then, she has been learning R and statistics through friends, online classes and the wonderful R-Ladies community. Alejandra is from Argentina, lived in Spain for 5 years, and now lives in Queens.
Ayanthi Gunawardana (she/her/hers) is a Research Analyst at the New York City Department of Transportation, where she currently analyzes crash and other transportation data to inform street design and transportation policy across all five boroughs. Previously, she worked as a Data Analyst at the NYC Taxi and Limousine Commission (TLC), the regulating body for all for-hire transportation in New York City, where she first learned R and analyzed the TLC’s extensive trip data to inform public policy. She holds a Bachelor of Arts in Sociology from Emory University and a Master of City and Regional Planning from Rutgers University. Ayanthi enjoys training Brazilian Jiu Jitsu, running, taking all forms of public transportation, and cooking/eating spicy food.
Erin works as a Data Scientist at Uncommon Schools where she trains coworker in R as well as maintaining two R packages. Prior to Uncommon, she worked as a Data Scientist at Crisis Text Line while and a software programmer at NASA while completing her Data Science Masters at Columbia University. Before data science, Erin researched star formation and taught introductory courses in astronomy and physics at the University of Maryland.
Emily Halford works at the New York State Psychiatric Institute and currently focuses on evaluations of suicide crisis services and suicide prevention media campaigns, as well as examining the impact of the COVID-19 pandemic on suicidality. She is enthusiastic about all things R, and is keenly interested in applications of data science in mental health. Emily received her MPH in Epidemiology from Columbia University’s Mailman School of Public Health and her BA in Biology and Environmental Studies from Bates College.
Ludmila Janda is a Data Scientist at Amplify. Amplify is a pioneer in K–12 education since 2000, leading the way in next-generation curriculum and assessment. Today, Amplify serves four million students in all 50 states. Luda’s work provides insights on student and teacher usage, student success, and Amplify’s broader impact. She has a Master’s in Public Policy from the University of North Carolina-Chapel Hill. Her interests include board games, salsa dancing, and causal inference. Follow her on twitter at @ludmila_janda
Kaelen is a lead data scientist at Calibrate where they’re working to build out data for the company as their first data science hire. They’ve also worked at Medidata, Spring Health, DataCamp, HERE Technologies, and have done a fair amount of R and Shiny consulting on the side. Kaelen has been at various times in their life a film theorist, preschool teacher, test prep tutor, videographer, and nanny before getting a MS in Biostatistics from LSU Health Sciences Center in 2016 and starting work as a statistician and data scientist. They have one cat named Lucy, named for the dispatcher in ‘Twin Peaks’. Outside of work they enjoy podcasts, cats, aliens, nail polish, and data.
Angeline Protacio (she/her) is a Data Scientist at Quartet Health, where she uses healthcare claims and product data to improve access to mental health care, and builds tools to support value based care for mental health providers. She has worked with data in a variety of settings, previously leading mental health data surveillance for the NYC Department of Health and Mental Hygiene, as well as dabbling in freelance data science consulting. She has an MPH in Epidemiology, and is passionate about health equity, social determinants of health, and data for social good. She moved to New York ten years ago from California, and remains perfectly happy with her decision to trade driving cars for riding the subway. When she’s not playing with data for work, she’s still playing with data to help her fantasy baseball team win, while trying to eat everything NYC has to offer.
Would you like to support R-Ladies NYC? You can make a tax-free donation to our chapter via Open Collective.