reproducibility

Hello again! This is Luiza, a GSoC contributor for the LabOp Project. My task is to build bridges between programming languages for Biotechnology Laboratory automation. When talking about life sciences, reproducibility is a issue amongst most research centers.

Introduction Hello again! This is Jack, a GSoC contributor for the OpenROAD Project. My task is to update and optimise the documentation to encourage user adoption and engagement. For open-source repo maintainers, readthedocs is a godsend.

Hello there! I’m Jonathan Edwin, all the way from the beautiful archipelago of Indonesia. This year, I got the exciting chance to jump on board the 2023 Summer of Reproducibility initiative.

As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time my proposal under the mentorship of In Kee Kim, Martin Putra and collaborator Charis Christopher Hulu (another OSRE fellow) aims to analyze large-scale sequencing datasets in order to gain insights on how ‘input quality’ affects genomic workflows’ execution times.

This project aims to design a system that allows researchers to conveniently record and compare the environmental information, such as CPU utilization, of different iterations and versions of code during an experiment.

Hi! I’m Charis, an undergraduate student in the IT and Big Data Analytics program at the Calvin Institute of Technology. As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time my proposal under the mentorship of In Kee Kim and Martin Putra aims to gain insight into features that are highly correlated with execution times of genomics workflows and build machine learning models for predicting workflow execution time.

Hi! I’m Haoran Wu, a third year at the University of Chicago majoring in Economics and Computer Science. With my proposal, I’m working on the GPU Emulator for Easy Reproducibility of DNN Training project with Professor Vijay Chidambaram.

I am Jonathan Edwin, coming from Indonesia, and I am extremely thrilled to be involved in the 2023 Summer of Reproducibility initiative. I am actively contributing to the project by making valuable contributions to the Using Reproducibility in Machine Learning Education project.

Hello! I’m Rani, a third year undergraduate student at Institut Teknologi Bandung majoring at Informatics. As part of the FlashNet my proposal under the mentorship of Haryadi S. Gunawi and Daniar Kurniawan aims to implement and optimize the FlashNet model in real-world storage systems using continual learning techniques.

Greetings everyone, I am Mohamed Saeed and I am delighted to be part of the 2023 Summer of Reproducibility program, where I am contributing to the Using Reproducibility in Machine Learning Education project.