Ryien Hosseini
Doctoral Researcher at University of Chicago
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRyien Hosseini is a doctoral researcher in computer science at the University of Chicago with eight years of experience building and researching graph-structured machine learning systems and HPC-enabled graph neural networks. His trajectory spans industry and national lab internships (Apple, Texas Instruments, Benzinga) to predoctoral research at Argonne, where he focused on learning from graph-structured data and scaling GNNs. He brings hands-on software and hardware experience—from RTL and firmware development to deploying ML models and APIs—alongside teaching undergraduates and mentoring in programming and data structures. Comfortable with Python, C/C++, system-verilog, and ML frameworks, he blends experimental research rigor with production-minded engineering. An interdisciplinary background in cognitive science and computer engineering informs his interest in applying principled ML to complex, real-world systems.
8 years of coding experience
3 years of employment as a software developer
Diploma, Diploma at Moorpark High SchoolMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of MichiganDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Chicago
English, Spanish, PersianProgramming languages (1)
Github contributions (5)
ryienh/graph-dock
Nov 2021 - Nov 2022
Contributions:116 commits, 2 pushes, 1 branch in 1 year
ryienh/ryienh.github.io
Dec 2021 - Feb 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:24 pushes in 2 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.