Prasun is involved with different open-source projects aimed at super fast Scientific Computing on Ruby and D. He is a huge supporter of Open-source software and loves Bioinformatics.

He is highly motivated to bring Scientific Computing to Ruby.

He worked as a student developer for Ruby Science Foundation for Google Summer of Code 2016 on the project “Port NMatrix to JRuby”.

He worked as a student developer for Ruby Science Foundation for Google Summer of Code 2017 on the project “Creating the fastest math libraries for Ruby/JRuby by using the GPU through OpenCL and ArrayFire”.

He is currently working on with the Genenetwork project, building GWAS tool for HPC devices, and RbCUDA project.

Educational Qualifications

  • M.Sc., Biological Sciences (2012 - 2017)
    Birla Institute of Technology and Science, Pilani, India

  • B.E., Chemical Engineering (2012 - 2017)
    Birla Institute of Technology and Science, Pilani, India

Programming

Prasun likes to program in C, C++, Java, D and Ruby.

He has been exploring the GPU world to create super-fast Math libraries for Ruby. One such effort is building the ArrayFire gem that wraps ArrayFire library and will make it easy for programmers to use Ruby for Big Data.

Talks and Presentations

  1. Speaker at RubyConf2017, New Orleans, USA, 2017 to talk about High Performance GPU Computing on Ruby.
    Slides| Video

  2. Speaker at RubyWorld Conference, Matsue Japan, 2017 to talk about High Performance GPU Computing on Ruby.
    Slides| Video

  3. Poster on Faster Linear Mixed Models (LMM) for online GWAS omics analysis​ at Complex Trait Community Conference 2017, Memphis, Tennessee, USA.
    Poster

  4. Speaker at Ruby DevRoom at FOSDEM 2017, Brussels, Belgium to talk about Scientific Computing on JRuby.
    Slides| Video

  5. Speaker at Ruby Conference India, 2017 to talk about Scientific Computing on JRuby.
    Slides| Video

Awards and Achievements

  1. Ruby Association Travel Grant 2017
  2. Ruby Grant 2017
  3. Google Summer of Code 2017
  4. Google Summer of Code 2016

Projects

  1. RbCUDA
  2. ArrayFire-rb
  3. NMatrix
  4. ArrayFire-d
  5. Faster_lmm_d
  6. gperftools_d
  7. Dmatrix
  8. Mitab parser

Other interests

Swimming, Gaming, Travelling