reproducibility

Hello, I am Syed Mohammad Qasim, a PhD candidate in Electrical and Computer Engineering at Boston University. I will be spending my summer working on the project ML-Powered Problem Detection in Chameleon under the mentorship of Ayse Coskun and Michael Sherman.

Hello, I’m Jiajun Mao, a BS/MS student at the University of Chicago studying Computer Science. I will be spending this summer working on the project OpenMLEC: Open-source MLEC implementation with HDFS on top of ZFS under the mentorship of Meng Wang and Anjus George, my proposal.

Hi! I’m Martin, and I will be working on Reproducible Performance Benchmarking for Genomics Workflows on HPC Cluster under the mentorship of In Kee Kim. Our work is driven by the scale of computing systems that hosts data commons – we believe that performance characterization of genomics workload should be done rapidly and at the scale similar to production settings.

With guidance from mentors Ray Andrew and Sandeep Madireddy under the LAST project, I aim to develop a pipeline to benchmark the efficacy of various drift management algorithms. Despite the abundance of literature on this subject, reproducibility remains a challenge due to the lack of available source code.

An introduction to our summer project focused on analyzing and resolving scalability bugs in large-scale distributed systems.

Hello! My name is Qianru, and I will be working on a project to improve spatial transcriptomics during Google Summer of Code 2024. My project, Benchmarking Gene Imputation Methods for Spatial Transcriptomics, is mentored by Ziheng Duan and Cormac Flanagan.

Project Idea Description Topics: Storage systems, machine learning Skills: Python, PyTorch, Bash scripting, Linux, Machine Learning modeling Difficulty: Hard Size: Large (350 hours) Mentors: Yuyang (Roy) Huang (primary contact), Swami Sundararaman Contributor(s): Lihaowen (Jayce) Zhu In the realm of machine learning (ML), preprocessing of data is a critical yet often underappreciated phase, consuming approximately 80% of the time in common ML tasks.

Servus everyone! I’m Kilian Warmuth, currently pursuing my M.Sc. in Computer Science at the Technical University of Munich (TUM) after completing my B.Sc. in Computer Science at the same institution. Throughout my academic education, I have taken courses in Advanced Computer Networks, which have deepened my understanding and expertise in the field.

Hi everyone! I’m Ashwin Bardhwaj, currently pursuing a bachelors in Electrical Engineering and Computer Science at UC Berkeley. I was recently involved in a project to implement a secure hardware encryption enclave in Verilog.

Project Idea Description Topics: Virtualization, Containerization, Profiling, Reproducibility Skills: C and Python and DevOps experience. Difficulty: Medium Size: Large; 350 hours Mentors: Tanu Malik This project aims to characterize computer-science related artifacts that are either submitted to conferences or deposited in reproducibility hubs such as Chameleon.