Talks

I give a lot of talks every year. I try my best to accommodate the invitations and requests as much as I can.

📹 You can watch some of my talks here: bit.ly/gdq-video-talks

2022

  • Pathways in Data Science and Machine Learning @ DeepLearning.AI (info, video)

  • Women in A.I. Empowered for a Data Economy @ UNA-USA (info)

  • IBM Champions Roundtable @ Think Broadcast Watch Party (video, blog)

  • Career, Skills and Roles in Data Science @ WiDS Tucson (info)

  • Data Science as a Team Sport @ CSUEB (College of Business and Economics)

2021

  • Trustworthy AI Tools Behind Advertising’s Biggest Brands @ AI Summit Silicon Valley (info)

  • Responsible AI: Fairness, Transparency, Bias, and Explainability @ SIPAIM (International Symposium on Medical Information Processing and Analysis) (info)

  • Data Science as a Career, And Responsible AI @ Mills College

  • Toolbox to Mitigate Bias in AI @ R North Conference (info)

  • Data Science as a Team Sport @ Women in Bioinformatics and Data Science LA (info)

  • Data Science as a Team Sport @ Miami Week (info)

  • Building a Diverse Community: The R-Ladies Story @ BioConductor (video)

  • Data Science as a Team Sport @ IBM NY

  • Data Science as a Team Sport @ WiDS NY

  • Diversity in the Tech Sector @ Pearson/Holberton

  • No matter the trend: Statistics will always be there @ DATAcated Conference (video)

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ LEADD UERJ

  • Implicações da Inteligência Artificial e como mitigar vieses com ferramentas open source @ WiDS RJ (video)

  • A Versatilidade de um Cientista de Dados @ I Encontro de Mulheres na Estatística e Ciência de Dados (I EMECD) (info)

  • Curso-R Entrevista: Gabriela de Queiroz (IBM, R-Ladies, AI Inclusive) (video)

2020

  • Data Science as a Team Sport @ R-Ladies Riverside (info)

  • Data Science Career Q&A @ USF - Economics

  • Data Science Career Q&A @ CSUEB

  • DC_THURS w/ Gabriela de Queiroz (video)

  • Data Science as a Team Sport @ DSC Europe

  • Data Science as a Team Sport @ eUSR 2020 (video)

  • A Day in the Life of A Data Scientist @ Golden Gate University

  • AMA - Ask me Anything @ DSGO virtual

  • An open source toolkit for R to mitigate discrimination and bias in machine learning models @ OpenUp Summit

  • Fireside Chat: “A conversation about Data Science Career, Communities, and Trustworthy AI” @ R-Ladies Miami

  • Panel: Women in Data @ Square (info)

  • A little bit of everything @ SAW Mills College

  • Talk about several things @ UpperLineCode

  • Deep Learning for Everyone @ DSSelevate: Elevating Women in Data (info)

  • Guest speaker @ Smith College (senior Statistics and DS majors who are about to graduate)

  • Deep Learning for Everyone @ Virtual Community Day: Deploy AI (info)

  • Deep Learning for Everyone @ Chat With The Lab Webinar (video)

  • Deep Learning for Everyone @ Tech Intersections (info)

  • Panel: Career Advice for Data Scientists @ rstudio::conf 2020 (video)

  • Implicações da Inteligência Artificial e como mitigar vieses com ferramentas open source @ CECA UFBA (video)

  • Dados da Gente - Dados somos nós. E agora? @ Agenda Bahia (info)

  • Live Inteligência Artificial @ GEMA UFBA (video)

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ PET UFPR (video)

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ WIT UFPB

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ Cloud Girls (video)

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ CIMATech video

  • Implicações da Inteligência Artificial e como mitigar vieses com ferramentas open source @ CODA BR (video)

  • Inteligência Artificial, Ciência de Dados e Estatística: trajetória, dicas e desafios @ LICAE UFV

  • Tendências na área de Inteligência Artificial diretamente do CODAIT/IBM - Vale do Silício @ BB DataMeeting

  • Nada se perde, tudo se transforma: Como as nossas experiências formam o profissional que somos @ DWC - DevBr Women Conference

  • Nada se perde, tudo se transforma: Como as nossas experiências formam o profissional que somos @ BRG Mulheres IBM

  • Liberdade e Inovação: como ferramentas livres vão guiar a sua jornada como Desenvolvedor e Cientista de Dados @ TDC Online São Paulo

  • Roda de Conversa: Carreira, Diversidade e Tecnologia na Ciência de Dados @ WIDS Salvador (video)

  • Tendências na área de Inteligência Artificial diretamente do CODAIT/IBM - Vale do Silício @ BB DataCon week

  • A Versatilidade de um Cientista de Dados @ Café com Dados

  • Tendências na área de Inteligência Artificial diretamente do CODAIT/IBM - Vale do Silício @ IBM Senior Technician Open Series (video)

  • Estatística, Ciencia de Dados, Academia e Indústria - como navegar? @ UFMT (video)

  • Minha Trajetória @ DES - UFLA (Universidade Federal de Lavras) (info)

2019

  • Panel: Ethics and Diversity in Machine Learning and AI @ Holberton School (video)

  • AI Inclusive @ AI Inclusive Rio de Janeiro (info)

  • AI Inclusive @ AI Inclusive San Francisco (info)

  • Minha Trajetória (Acadêmica e Profissional) @ R-Ladies Lavras (info)

  • Deep Learning for Everyone @ Rday Medellín (info)

  • Deploying Deep Learning Models as Microservices [3.5 hours workshop] @ ODSC West 2019 (info)

  • Academic and Industry Careers Panel @ Pacific Math Alliance Conference (info)

  • I Wish I Could: Taking Charge of Your Future and Path @ WSDS 2019 (info)

  • Deep Learning for Everyone @ Data Science Go 2019 (info)

  • Ready to use Deep Learning Models @ GDG DevFest San Francisco (info)

  • There is no one (R)Round @ DSC — Directions in Statistical Computing (info)

  • Diversity: a Data Science Imperative @ Analytics & Data Science Meetup (info)

  • Deploy Deep Learning models as Microservices in minutes @ PyBay (info)

  • Deep Learning for All @ Demystifying Data Science (info)(video)

  • Building a Community: The R-Ladies Story @ CascadiaRConf (info)

  • Changing the Statistics Community: Effective Strategies for Promoting an Inclusive and Equitable Culture for Women @ JSM (info)

  • Building a Community: The R-Ladies Story @ SDSS (info)

  • Fireside Chat Panel @ SDSS (info)

  • Being a parent made me a better manager (or vice versa) @ Seattle PyLadies (info)

  • Intro to Developer Relations Panel Discussion @ Write/Speak/Code SF (info)

  • Ready to use Deep Learning Models @ AI and ML Developer Summit (info)

  • Panel: Gaslighting - Detection & Mitigation Strategies @ DevPulseCon

  • Managing & Leading a Machine Learning team: how is it different from being an individual contributor? @ Afternoon of Data (info)

  • R Consortium: Striving to Address Diversity Issues in Open Source @ Open Source Leadership Summit (info)

  • Women in STEM panel @ Diablo Valley College

  • Celebrating Our Developer Advocate Women @ Twitch Stream

  • Be equal. Be essential. A panel to celebrate IWD @ IBM SF

  • A tour inside the R-Ladies organization @ rstudio::conf - Austin, TX

  • Introduction to Data Science with Python (part 1) @ Women Who Code Silicon-Valley

2018

  • Asking Good Questions as a Data Scientist @ online

  • Deep Learning in R with Keras @ ODSC - San Francisco, CA

  • Women in Data Science: Diversity as a Key Factor for Business and Career Success @ DataScienceGO - San Diego, CA

  • Ready to use Deep Learning Models: All You Need is 5 Minutes @ DataScienceGO - San Diego, CA (slides)

  • Ask a Data Scientist: Careers in Data Science @ Online (video)

  • Super Data Science Podcast 195: Inspiration from the Founder of the R Ladies Organization @ Online (listen)

  • Ask Me Anything (AMA) @ Lesbians Who Tech Booth (Grace Hopper Conference) - Houston, Texas

  • Inclusion, Diversity, and Community: the R-Ladies initiative @ Open Source Summit - Vancouver, Canada (info) (slides)

  • R-Ladies Global @ R-Ladies Salvador, Brazil (info)

  • Statistics for Data Science: What You Should Know and Why @ Online (info)

  • R and TensorFlow @ OSCON - Portland, Oregon (info)

  • Understand, analyze, and predict health and nutrition needs to improve services with data science @ Online (info)

  • Lesbian Who Tech Panel: Data, Privacy, and What’s Next @ Bloomberg Tech - San Francisco, California (info)

  • R-Ladies Global: comunidade, missão e visão @ R-Ladies Rio, Brazil (info)

  • R-Ladies Global: comunidade, missão e visão @ III SER, Brazil (info)

  • R-Ladies Global: comunidade, missão e visão @ R Day, Brazil (info)

  • Introduction to Deep Learning with R using Keras and TensorFlow @ Ask.com (info) (material)

  • Women on the Rise: Pioneers in STEM @ McGrail Vineyards and Winery (info)

  • The Data Science Career - Q&A @ CCSF (slides)

  • Women in Data Panel @ Lyft (video)

  • Community & Leadership in R @ Iowa State University

  • Stats, Machine Learning & the Data Science Career @ Iowa State University

  • Statistics for Data Science: what you should know and why @ Data Day Texas (slides)

2017

  • R-Ladies Global: Community and Vision @ WSDS (slides)

  • Intro to Data Science: Women’s Beginner Coding Workshop (info)

  • ‘Full Stack’ Data Science with R @ EARL SF (slides)

  • Data Science, R e R-Ladies: um pouco da minha experiência no Vale do Silício @ FGV (Talk in Portuguese) (video)

  • Data Science, R e R-Ladies: um pouco da minha experiência no Vale do Silício @ R-Ladies Rio

  • R-Ladies Global - Community and Vision @ Cascadia R Conference

  • “Stats: What you need to know” @ Strata (info) (slides)

  • My Data Science Journey @ CSUEB (slides)

2016

  • R-Ladies Presentation @ useR! 2016 (info)

  • Carrer Path & Advice @ CSUEB - Data Science Club (slides)

  • Faster data manipulation with dplyr @ R-ladies meetup (info) (material)

2015

  • “The first 90 Days As The Only Data Scientist in the Company” @ Extract Conference (video) (slides)

  • Women in Data Science #1: Lightning talks - SF Data Science meetup @ Galvanize (info) (slides)

  • Women’s Communities Meetup @ Strata + Hadoop World (info)

  • Intro to R for Data Science" @ Open Data Science Conference (video) (material)

2014

  • “Creating a network of women R-users” @ useR! 2014 (abstract) (slides)

  • “heR Panel Discussion and Mixer” @ useR! 2014 (info)

  • Ladies’ Night - Empowering Women in the Workplace @ Alpine Data Labs (info)

2013

  • Tech in Motion SF Presents: Women in Engineering! @ Rich Relevance (info)

2012

  • Introduction to R @ Google SF (slides)

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