Privacy-Enhancing Data Science (SSI Fellowship 2022)

Presentation for my Software Sustainability Institute (SSI) Fellowship Application to foster the adoption of Privacy-Preserving Data Science tools and methods.

Transcript

1. Software Sustainability Institute
   Fellowship Programme 2022
   valerio.maggio@bristol.ac.uk
   @leriomaggio
   V
   a
   lerio M
   a
   ggio
   

   View Slide

2. A little bit about myself
   🇮🇹
   Hi, I am Valerio
   
   
   My pronouns are he/him
   
   
   And I am very pleased to meet you! ☺
   I am
   🇬🇧
   Now in
   Credits @Nathan Riley “Clifton Suspension Bridge, Bristol, United Kingdom”
   
   
   Published on August 14, 2017 - Source: https://unsplash.com/photos/iOMkcADNoq8
   

   View Slide

3. A bit about my professional career
   Undergraduate to PhD
   101011100110
   Research Associate - Fondazione Bruno Kessler (FBK) Trento, Italy
   Training data
   [Classifier tuning]
   Validation data
   Ranked
   biomarkers
   Classification
   model
   Internal
   training set
   Data splitting
   Internal
   validation set
   Prediction
   Performance
   evaluation
   Selected
   biomarkers
   Prediction Predicted labels
   Selected
   biomarkers
   Best model
   Repeat 10 times
   5-fold CV
   Random labels
   Random labels sanity check
   Reproducible genomics:
   
   
   DNA-Seq to enhance research in precision medicine
   DAP (Data Analysis Pipelines)
   gitlab.
   f
   bk.eu/mpba
   /phylogenetic-cnn
   /dap
   /dapper
   AI for Healthcare Grant
   kube
   f
   low-kale.github.io
   KubeCon 2021 - Keynote
   drawXORRect => draw|XOR|Rectangle
   Identi
   f
   ic
   a
   tion of Code Siblings
   Code Identi
   f
   iers Processing
   graphics
   Genomics
   Histology
   ML4SE: Machine Learning for Software Engineering Cloud RSE
   

   View Slide

4. Teaching Experience
   github.com/leriomaggio/
   bristol.ac.uk/golding/get-involved/data-week-online-2020/
   Data Week Online 2020
   

   View Slide

5. Open Source
   Community
   Community built on principles of diversity & inclusion
   https://speakerdeck.com/leriomaggio/
   

   View Slide

6. Research Activity
   Senior Research Associate, Population Health Science, Univ. Bristol
   Source: UK Birth Cohorts as a Platform for Ground Truth in Mental
   Health Data Science O. Davis/ C. Haworth ATI Fellowship
   Platform to enable ML algorithms for
   
   
   Mental-Health Data Science
   
   
   in UK birth cohort studies
   Privacy-Preserving Machine Learning
   Aw
   a
   rded by JGI Seed-Corn Fundings 2021
   je
   a
   ngoldinginstitute.blogs.bristol.
   a
   c.uk/2021/01/07/seed-corn-funding-winner-
   a
   nnouncement/
   Member of the Writing/Doc Te
   a
   m &
   
   
   Technic
   a
   l Mentor @ Priv
   a
   te AI Series
   bristol.ac.uk/alspac/
   PPML
   PPML
   

   View Slide

7. SSI Fellowship Plans
   

   View Slide

8. SSI Fellowship Plans
   Why I am applying to SSI Programme ‘22
   1. Shared Interest for Sustainable Research Software Principles and
   Reproducible Science Practice
   
   
   • Being a SSI fellow will de
   fi
   nitely support me in disseminating these
   principles among researchers at the University
   
   
   2. Join a community of peers with whom I wish to collaborate, exchange
   ideas, and to learn from.
   

   View Slide

9. • Privacy-Preserving Machine Learning (PPML)
   technologies have the huge potential to be the
   

   Data Science paradigm of the future
   
   
   • Joint e
   ff
   ort of Open Source & ML & Security
   Communities
   

   • I wish to disseminate the knowledge about these new
   methods and technologies among researchers
   
   
   • Focus on Reproducibility of PPML work
   fl
   ows
   SSI Fellowship Plans
   What I would like to do
   

   View Slide

10. SSI Fellowship Plans
    • Develop a workshop on Reproducible PPML
    
    
    • Increase visibility by writing blog posts and short tutorials
    
    
    • Eventually aiming at submitting the material as a proposal for a new Data Carpentry Curriculum
    gather.town
    • Run at least two data carpentry-style workshops on PPML
    
    
    • Pay for hosting and cloud computing to host and run teaching materials
    
    
    • (Ideally) Having funds for some travel costs & catering for attendees
    
    
    • (More realistically)
    

    Purchasing professional equipment for recording (e.g. webcam)
    

    Host the bootcamp on remote premises (e.g. gather.town)
    

    View Slide

11. Thank you very much
    

    for your kind attention
    Valerio Maggio
    valerio.maggio@bristol.ac.uk
    @leriomaggio
    

    View Slide