Our Legacy

Timeline

%%{init: { 'logLevel': 'debug', 'theme': 'default', 'themeVariables': { 
    'fontFamily': 'Helvetica, Arial, sans-serif',
    'cScale0': '#88398A', 'cScale1': '#e1b9e2','cScale2': '#88398A','cScale3': '#e1b9e2',
    'cScaleLabel0': '#ffffff', 'cScaleLabel1': '#000000', 'cScaleLabel2': '#ffffff', 'cScaleLabel3': '#000000'
} } }%%

timeline
    title History of R-Ladies Melbourne Inc. 

    section Our Foundation
    2012 : R-Ladies founded in San Francisco by Gabriela de Queiroz đź’ś
    2016 : 18th October - R-Ladies Melbourne Launched 🚀

    section Our Meetups
    2017 : R Notebooks and Interactive Graphs
         : Git and GitHub Workshop
         : Twitter Workshop
         : Web Scraping and Sports Analytics
         : Build Neural Network with R
         : mixOmics Combine Large Scale Datasets
         : Introduction to R Workshop
         : Random Forest, Climate Change and Food Production
         : One Year of R-Ladies Melbourne
         : Introduction to R-Shiny
         : Christmas Party
    2018 : Semiparametric and non-parametric models in R
         : From zero to science hero in 1 week
         : How R you? R-Ladies Melbourne second anniversary 
         : R as a tool for complex systems modelling 
         : Getting down and up with blogging with R! 
         : Follow me! Introduction so social media analysis in R 
         : Introduction to R 
         : Everything you need to know to create your R Package 
         : More than words - Text Analysis in R 
         : Parallel Programming in R 
         : Public Transport Maps and Geospatial Data in R
         
    section Milestone
    2019 : R-Ladies Melbourne became R-Ladies Melbourne Inc. on 28th March 2019 🎉
    
    section Our Meetups .
    2019 : Producing publication-ready documents in R Markdown
         : Baby one more time - reproducibility in R and when to bring in the big guns
         : NLP with SpaCy in R
         : Cluster analysis with international education data
         : Introduction to R Workshop
         : Gold star reproducibility - straightforward containerisation
         : Take a sad plot and make it better
         : Intro to Data Analysis and Graphics with R
         : R-Shiny Tricks or Treats, Maybe Both?
         : Designing Data Science
         : Christmas Networking Party
    2020 : TidyTuesday
         : Binovisualfields Package - Development and Publication to CRAN
         : Recent work in cluster trials and the representation of women in statistics
         : Would you like to become a more confident and engaging speaker?
         : R Markdown - A better way of communicating with data
         : Sport, Data, and R
         : Resume Guru
         : How R you? 4-year Anniversary
    2021 : TidyTuesday 
         : Diversity Scholars Workshop
         : Create and publish your pesronal website with Blogdown
         : A remove glimpse into the useR!2021 conference
         : Anomalies! You can't escape them
         : The Art of Design - Software and Experimental Design
    2022 : Automate your CV with R Markdown - Easy as 1, 2, knit
         : AI Ethics Workshop
         : How to do analysis for others without going crazy - My mistakes in consulting
         : Building a new geom in ggplot2
         : Data viz for mass audiences
         : The workflow of tidy data, constructing plots and making data driven decisions
         : Switching between space and time - Spatiotemporal analysis with cubble
         : How I use workflowr to create reproducible analyses
         : Choose your own adventure - Tools for Open and Reproducible Research
    2023 : Navigating Public Health Careers Insights into Career Journeys
         : What's New in the Tidyverse?
         : Teaching Computers to See Scatterplots with Scagnostics
         : It Takes a Spark 2023 - Become A Disease Detective
    2024 : Careers in Data Science
         : Increasing diversity in R-Ladies SĂŁo Paulo
         : It Takes a Spark 2024 - Become A Disease Detective
         : Data in Sport Analytics
         : End-of-Year Networking Event 
    2025 : Upcoming Events TBD!

Our Organising Committees

2024-25

Committee Members:

  • Dionne Argyropoulos (President)
  • Danyang Dai (Daidai) (Vice President)
  • Sehrish Kanwal (Secretary)
  • Kathleen Zeglinski (Treasurer)
  • Caitlin Bourke
  • Lauren Smith
  • Belen Prado
  • Cecilia Rios Teran
  • Felicia Bongiovanni
  • Outgoing Members: Steph Studniberg, Jayani Lakshika

2023-24

Committee Members:

  • Danyang Dai (Daidai) (President)
  • Dionne Argyropoulos (Vice President)
  • Sehrish Kanwal (Secretary)
  • Kathleen Zeglinski (Treasurer)
  • Caitlin Bourke
  • Belen Prado
  • Cecilia Rios Teran
  • Steph Studniberg
  • Jayani Lakshika
  • Outgoing Members: Nikki Rubinstein, Gizem (Evie) Eker, Anna Quaglieri, Yuri Song

2022-23

Committee Members:

  • Gizem (Evie) Eker (President)
  • Danyang Dai (Daidai) (Vice President)
  • Sehrish Kanwal (Secretary)
  • Nikki Rubinstein (Treasurer)
  • Yuri Song
  • Anna Quaglieri
  • Caitlin Bourke
  • Kathleen Zeglinski
  • Steph Studniberg
  • Outgoing Members: Shazia Ruybal-Pesántez, Alexandra Garnham, Sepideh Foroutan

2021-22

Committee Members:

  • Shazia Ruybal-Pesántez (President)
  • Yuri Song (Vice President)
  • Sehrish Kanwal (Secretary)
  • Nikki Rubinstein (Treasurer)
  • Danyang Dai (Daidai)
  • Anna Quaglieri
  • Alexandra Garnham
  • Sepideh Foroutan
  • Caitlin Bourke
  • Gizem (Evie) Eker
  • Outgoing Members: Marie Trussart, Adele Barugahare, Miriam Yeung, Shanmathi Ramasubbu, Göknur Giner

2020-21

Committee Members:

  • Sehrish Kanwal (President)
  • Marie Trussart (Vice President)
  • Shazia Ruybal-Pesántez (Secretary)
  • Adele Barugahare (Treasurer)
  • Alexandra Garnham
  • Danyang Dai (Daidai)
  • Miriam Yeung
  • Shanmathi Ramasubbu
  • Yuri Song
  • Anna Quaglieri
  • Nikki Rubinstein
  • Göknur Giner
  • Sepideh Foroutan
  • Stephanie Koo
  • Ming Kong

2019-20

Committee Members:

  • Sepideh Foroutan (President)
  • Nikki Rubinstein (Vice President)
  • Marie Trussart (Vice President)
  • Göknur Giner (Secretary)
  • Lucy Liu (Secretary)
  • Adele Barugahare (Treasurer)
  • Shazia Ruybal-Pesántez
  • Saskia Freytag
  • Alexandra Garnham
  • Anna Quaglieri
  • Miriam Yeung
  • Shanmathi Ramasubbu
  • Outgoing Members: Roxane Legaie, Sooror Zadeh

2018-19

Committee Members:

  • Göknur Giner
  • Sepideh Foroutan
  • Saskia Freytag
  • Roxane Legaie
  • Alexandra Garnham
  • Anna Quaglieri
  • Sooror Zadeh
  • Marie Trussart
  • Nikki Rubinstein
  • Adele Barugahare
  • Lucy Liu

2017-18

Committee Members:

  • Sepideh Foroutan (President)
  • Nikki Rubinstein (Vice President)
  • Göknur Giner
  • Saskia Freytag
  • Roxane Legaie
  • Alexandra Garnham
  • Anna Quaglieri
  • Sooror Zadeh
  • Marie Trussart

2016-17

Committee Members:

  • Göknur Giner
  • Sepideh Foroutan
  • Saskia Freytag
  • Roxane Legaie
  • Alexandra Garnham
  • Anna Quaglieri
  • Sooror Zadeh

Committee Member Profiles

R-Ladies Melbourne Organising Committee and Friends past and present in alphabetical order.

Mansi AGGARWAL

Current Position: Product Bioinformatician at Mass Dynamics
LinkedIn

What do you use R for? Bioinformatics, data visualisation, data processing

Favourite R packages: dplyr, ggplot

Biography: With over five years of experience in data science roles across diverse sectors, Mansi is now focused on leveraging her expertise at the intersection of healthcare and technology, particularly in bioinformatics. She is passionate about improving healthcare outcomes through data-driven solutions. Currently, she works as a product-focused bioinformatician at Mass Dynamics, developing innovative solutions to simplify proteomics workflows and data interpretation.

Dionne ARGYROPOULOS

Current Position: Research Officer at WEHI
Bluesky Bluesky
Github
LinkedIn
Email

What do you use R for? I use R for data processing, modelling, analysis, visualisation, reports and generating websites.

Favourite R packages: tidyverse, poppr

Biography: Dionne is a molecular epidemiologist and population geneticist currently positioned at WEHI (Walter and Eliza Hall Institute). Dionne’s avid interest in genetics, evolution and coding led her to apply these approaches to studies of infectious diseases, such as Plasmodium falciparum malaria in her Masters of Science and PhD, to P. vivax malaria and various microbes in her current first post-doc position. The research topics of interest include drug or antimicrobial resistance, spatiotemporal trends, epidemiological statistics, statistical modelling and machine learning techniques, data wrangling and visualisation. Her work has involved international collaborations in West Africa and North America, as well as supervision and support of students, with various opportunities for knowledge exchange and capacity-building in coding and genetic epidemiology. Being an active member of the R-Ladies Melbourne community, and the current President, has led to the development of practical content (workshops and the website) and has motivated her to learn and develop new techniques.

Caitlin BOURKE

Current Position: Post-doctoral Researcher

What do you use R for? Bioinformatics, data analysis, data visualisation, reporting.

Favourite R packages: tidyverse

Biography: Caitlin is a post-doctoral researcher working in malaria research, currently based in Madagascar. Her work has spanned transcriptomics, genomics, immunology, and epidemiology.

Danyang (Daidai) DAI

Current Position: PhD Student at Queensland Digital Health Centre, The University of Queensland
Bluesky Bluesky
Github
LinkedIn

What do you use R for? Data wrangling, analysis, visualisation. Generating reproduceable report, Shiny app and website development.

Favourite R packages: tidyverse, rmarkdown

Biography: Danyang Dai (Daidai) is a third-year PhD candidate at the Queensland Digital Health Centre (QDHeC) at The University of Queensland. Her research focuses on advancing population health outcomes in the post-COVID-19 era. With a strong academic background in Econometrics and Biostatistics, Daidai is also a passionate advocate for the R programming language. She has actively contributed to the academic and professional communities through her involvement with organizations such as R-Ladies Melbourne and by creating educational resources for R programming.

Sehrish KANWAL

Current Position: Senior Bioinformatician
Twitter/X
Email

What do you use R for? Data analysis, reporting, visualisation

Favourite R packages: ggplot

Biography: Dr. Sehrish Kanwal is a senior bioinformatician at the University of Melbourne Centre for Cancer Research, specialising in cancer genomics and clinical data analysis. Dr. Kanwal’s research interests primarily revolve around cancer discovery, prognosis, and treatment, with a focus on leveraging computational biology and genomic and transcriptomic data analysis in clinical settings.

Beyond her scientific work, she is a passionate advocate for gender equity and empowering women in STEM fields. Dr. Kanwal has been a driving force behind R-Ladies Melbourne, promoting inclusivity, support, and mentorship within the R community. She is a dedicated mentor and a teacher, who believes in empowering and supporting students and junior researchers. Her commitment to open science, reproducibility, and advancing bioinformatics research led to her innovative project proposal being selected for the prestigious rOpenSci Champions Program in 2024. Furthermore, Dr. Kanwal has been instrumental in curriculum development and maintenance, ensuring that bioinformatics education aligns with the latest advancements in the field. Her engagement with international organisations, such as the Carpentries, highlights her commitment to providing expert education advice and promoting knowledge exchange.

Overall, Dr. Sehrish Kanwal’s multidimensional contributions encompass research excellence, leadership in bioinformatics analysis, teaching and training, and mentoring future professionals. Her work holds significant potential for advancing cancer research, improving clinical outcomes, and fostering the growth of bioinformatics education and expertise.

Roxane LEGAIE

Current Position: Clinical Bioinformatics Team Leader at the Peter MacCallum Cancer Centre
LinkedIn

What do you use R for? I don’t code much anymore but some of our application use R for Copy Number Variation calling and visualisation from cancer genomics data.

Biography: Roxane leads the Clinical Bioinformatics team for the Pathology Department at the Peter MacCallum Cancer Centre in Melbourne. Her work is at the cutting edge of cancer genomics, implementing translational informatics solutions required for the analysis of next generation sequencing (NGS) data into clinical practice, to accelerate the diagnosis of cancer patients and their access to clinical trials.

Her passion for personalised medicine drives her commitment to ensure best practices are used throughout development, validation and release of clinical bioinformatics pipelines.

Roxane completed a Master of Science (“Informatics and Bioinformatics”) in France in 2007 and has worked in various institutions across Europe and Australia since – both in academia, industry and health care. She was one of the co-founders of R-Ladies Melbourne back in 2016.

Lucy LIU

Current Position: Software Engineer at Quansight Labs
LinkedIn

What do you use R for? I mostly work in Python these days but I do use R to check how various statistical functions are implemented, in particular in my work on scikit-learn. R is a statistical programming language and I think it’s still a gold standard for implementation of statistical algorithms.

Favourite R packages: edgeR

Biography: I’m currently a software engineer working on open source scientific software. I got my start doing some bioinformatics during my research Masters and have really enjoyed developing software to help scientists!

Lauren SMITH

Current Position: Senior Research Officer
Github
Email

What do you use R for? Statistical modelling, mathematical modelling, machine learning, data processing

Favourite R packages: Anything tidy modelling!

Biography: Lauren is a Senior Postdoctoral Research Officer in the Mueller Lab, in the Population Health and Immunity Division at the Walter and Eliza Hall Institute. Lauren currently works on projects relating to the control of infectious diseases in the Asia-Pacific region, including the development of diagnostic tools to identify individuals recently infected with Plasmodium vivax. In her previous research, she has addressed questions related to the management of animal populations and infectious diseases, including assessing the effectiveness of free-roaming dog population management, rabies control strategies, African swine fever in domestic pigs, and cetacean ecology and conservation. She uses R for all the above, from data cleaning to ecological and infectious disease modelling!

Anna QUAGLIERI

Current Position: Senior Bioinformatics Data Scientist
Github
LinkedIn

What do you use R for? Building R packages and methods for the Mass Dynamics platform and analysing data for our clients.

Favourite R packages: Hard to answer! But limma is definitely at the top

Biography: Dr. Anna Quaglieri is a Senior Bioinformatics Data Scientist at Mass Dynamics working to make mass spectrometry based proteomics more accessible to the broader community of scientists. She has a background in mathematical statistics and over 10 years of experience utilising statistics and software to makes sense of various types of ’omics data including population genetics, genomics, epigenetics and proteomics in both academia and industry.

Anna is a passionate advocate of the bioinformatics open source software community having co-organised the R-Ladies Melbourne group for over 6 years and currently covering the role of chair for the Bioconductor Code of Conduct committee.

Marie TRUSSART

Current Position: Senior Post-doctoral Researcher
LinkedIn

What do you use R for? Data analysis, Computational biology, Statistics.

Favourite R packages: CytofRUV

Biography: I am a senior post-doctoral researcher in the Bioinformatics department at the Walter and Eliza Hall Institute of Medical Research in Melbourne. I analyze clinical data from cancer patients receiving different drugs and develop computational methods to better predict an adapted treatment for each patient.

I am particularly concerned by the low rate of female participation in STEM and STEM careers. I have participated through different organizations such as the RLadies as a vice-president, WISPP to organize development workshops and events to empower women scientists for successful leadership among STEM professions. I am also really enthusiastic about career coaching and founded Kintsugi Coaching to address the barriers and enablers behind the participation and leadership of women in science.

Kathleen ZEGLINSKI

Current Position: PhD Student at WEHI
Github
Email

What do you use R for? Bioinformatics, data visualisation and cleaning.

Favourite R packages: ggplot2

Biography: Kathleen is a final-year PhD student in the Ritchie Lab at WEHI. Her work focuses on the application of sequencing and bioinformatics to the development of biopharmaceuticals, including gene therapies and antibodies.