Stan Szymanowicz
Visiting Researcher at University of Oxford
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolStan Szymanowicz is a machine learning researcher and GenAI specialist with nine years of experience bridging top-tier academic research and industry labs, currently a PhD candidate at Oxford and a Visiting Researcher at Meta. A Cambridge MEng who topped his cohort, he has interned at Google and Microsoft and contributes practical engineering to high-impact vision projects—e.g., refactoring BARF NeRF code to improve multi-dataset compatibility. His work sits at the intersection of computer vision and generative models, guided by advisors Andrea Vedaldi and Christian Rupprecht. Known for clean, reproducible code and dataset engineering, he pairs deep theoretical training with hands-on system improvements that accelerate research-to-prototype cycles.
9 years of coding experience
2 years of employment as a software developer
Mathematics and Physics, Mathematics and Physics at III High School in GdyniaDoctor of Philosophy - PhD, Computer Vision and Machine Learning, Doctor of Philosophy - PhD, Computer Vision and Machine Learning at University of OxfordMathematics - A*, Further Mathematics - A*, Computer Science - A*, Physics - A*, Mathematics - A*, Further Mathematics - A*, Computer Science - A*, Physics - A* at Dulwich CollegeMaster of Engineering - MEng, Information and Computer Engineering, Master of Engineering - MEng, Information and Computer Engineering at University of CambridgeScholar, Mathematics, Physics, Computer Science, Scholar, Mathematics, Physics, Computer Science at Krajowy Fundusz na rzecz Dzieci
Polish, English, German, Russian, French
Github Skills (10)
computer-vision10
pytorch10
python10
modeling9
data-set9
datasets9
trainings9
evaluation9
eval9
dataprep9
Programming languages (2)
Github contributions (5)
chenhsuanlin/bundle-adjusting-NeRF
Dec 2021 - Dec 2021
BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 3 PRs, 1 comment in 1 day
Contributions summary:Stan primarily focused on organizing and refactoring existing code related to training and evaluation within the BARF model. They wrapped the `train.py` and `evaluate.py` scripts within `main()` functions, improving the structure. Additionally, the user cloned the camera poses and intrinsics in the Blender, iPhone, and LLFF datasets, which is important for the model's performance. These changes suggest an effort to ensure the model is compatible with multiple datasets.
pytorchiccvdeep-learningbundleneural-radiance-fields
suchanekj/robot_arm_rl
Jan 2020 - Mar 2020
Contributions:15 commits, 12 pushes, 1 branch in 1 month
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.