Tianyu Zhang
Research Scientist at Mistral AI
Montreal, Quebec, United States
Summary
🤩
Rockstar🎓
Top SchoolTianyu Zhang is a research scientist with six years of experience at the intersection of machine learning research and applied engineering, currently at Mistral AI after research roles at ServiceNow and a brief stint at Adobe. A Ph.D. student at Mila under Yoshua Bengio, he blends deep theoretical training with hands-on full‑stack contributions to open-source projects such as LAION-AI/CLAP, where he bootstrapped audio–text data pipelines for contrastive pretraining. His background in applied mathematics (NYU Courant) and dual bachelor’s degrees in mathematics and finance gives him a rare mix of rigorous quantitative skill and pragmatic product sensibility. Comfortable moving models toward production, he is an ever‑lasting learner who shifts fluidly between research questions and engineering delivery.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - Ph.D. with Prof. Yoshua Bengio, Doctor of Philosophy - Ph.D. with Prof. Yoshua Bengio at Mila - Quebec Artificial Intelligence InstituteBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Wuhan UniversityMaster of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at NYU Courant Institute School of Mathematics, Computing, and Data Science
Github Skills (5)
data-loading10
python10
webdataset10
data-preprocessing9
pytorch9
Programming languages (9)
Github contributions (5)
LAION-AI/CLAP
Apr 2022 - Sep 2022
Contrastive Language-Audio Pretraining
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:125 commits, 15 PRs, 124 pushes in 5 months
Contributions summary:Tianyu's initial commit involved initiating the repository and adapting the data.py file to handle audio-text data, likely for training. Subsequent commits focused on implementing data loading with a proportion of the data. The user also adopted the format of the dataset loader in train.py and made various updates to the data loading pipeline for webdataset.
contrastivepretrainingaudio
tianyu-z/GEDImageDenoiser
Nov 2019 - Jan 2020
Contributions:31 commits, 30 pushes, 1 branch in 1 month
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