osre23

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.

Greetings, I am Rishabh Singh, and I am excited to be part of the 2023 Google Summer of code program. My proposal under the mentorship of John Wu and Bin Dong focuses on optimizing the FasTensor tensor computing library for efficient usage on GPUs, specifically targeting tensor contraction while preserving structure-locality.

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.

Hello! As part of the ScaleBugs project our proposals (proposal from Goodness Ayinmode and proposal from Zahra Nabila Maharani) under the mentorship under the mentorship of Cindy Rubio González,Haryadi S. Gunawi and Hao-Nan Zhu aims to build a dataset of reproducible scalability bugs by analyzing bug reports from popular distributed systems like Cassandra, HDFS, Ignite, and Kafka.

Hi! My name is Alex, an undergraduate student at the University of Chicago. As part of the Reproducible Evaluation of Multi-level Erasure Coding, my proposal under the mentorship of John Bent and Anjus George aims to build a platform to reproducibly evaluate the performance and durability of MLEC (Multi-Level Erasure Coding) for large-scale storage systems under different design configurations.

Hi! I’m Justin, an undergraduate at the University of Chicago. As part of the Flashnet project my proposal under the mentorship of Daniar Kurniawan and Haryadi S. Gunawi aims to port the Flashnet model into the Linux kernel.

As part of the Open Source Autonomous Vehicle Controller Project my proposal under the mentorship of Aaron Hunter and Carlos Espinosa aims to create comprehensive technical documentation to help onboard new users of the OSAVC controller.