Board
Meet our board members
Dorota Rizik (Organizer)
Dorota (she/her) is a data analyst with a passion for programming, automating repetitive tasks, and workflow efficiency. She has a masters in applied statistics from NYU and currently works at MDRC, a nonprofit policy research organization. She loves fries, dogs, and going to the cinema.
Kristin Akey
Kristen Akey (she/her) is a Data Analyst at Civitech, where she helps build tools to increase civic participation. She graduated with a master’s degree from Columbia University in Quantitative Methods in the Social Sciences and received her BA from Barnard College in Political Science. She has previously worked on projects related to political redistricting, campaign finance, and NYC buildings. In her free time, she enjoys biking, rollerblading, and playing fetch with her cat, Sybil.
Mei Guan
Mei Guan(she/her/hers) is an Analytics Director at TNTP where she focuses her research on topics related to social and economic mobility for young people. Previously, Mei has worked as high school science teacher in Brooklyn and as a data analyst at the New York City Department of Education. She holds a B.S. in Biology from Cornell University and a M.S. in Applied Urban Science and Informatics from New York University.
Clara Wang
Clara (she/her/hers) is a data scientist currently working on cloud resource usage analytics. Previously, she worked on analyzing China’s tech industry at the media publication, Protocol, and she also worked on campaigns doing political analytics. She loves making data visualizations, biking around NYC, and learning new things.
Jacqueline Buros
Jacki (she/hers) is a co-founder and CTO at a start-up company called Generable, which uses biologically-inspired Bayesian models to estimate treatment effects for oncology drugs from small-sample clinical data. She has over 10 years of experience in R, is an experienced Python developer, and is either author of or contributor to several open-source packages. She is passionate about improving oncology through Bayesian analysis and bioinformatics.
Nicole Burke, Ph.D
Nicole (she/her) is a Scientific Software Engineer at The Child Mind Institute, where she helps build software and data analysis pipelines to support research that studies children’s mental health. As a Developmental Research Psychologist by training, she previously spent 10 years in academia using social networks to explore how children’s social experience relates to their social cognitive development. She holds a Ph.D. in Developmental Psychology from The University of Chicago and a B.A. in Psychology and Cognitive Science from Northwestern University. She loves all things R, data, long distance running, and cuddling with her senior rescue pup.
Anni Liu
Anni (she/her) is a bioinformatics assistant at Rockefeller University, where she helps maintain and update analytical pipelines, with passion in exploring patterns in patients’ NGS omics data. She graduated with a master’s degree in Biostatistics and Data Science from Cornell University. Previously, she contributed to projects on RNA-seq tool development and healthcare data analysis, and also worked on mutation characteristics in patients with infectious diseases. Outside of work, she enjoys walking around NYC, reading books, and picking up new programming tips.
Dana Trembley
Dana (she/her) is a data manager with a love of coding, collaboring with others, and diving into the weeds. She has a masters in economics from BU and has over 8 years experience in people analytics. She has previously worked for companies on projects related to modeling differences in employee outcomes - such as equity in pay and promotions - by gender and race/ethnicity. She loves pierogies, taking her dog to see his friends at the dog park, and going to live concerts.
