Yingtao Tian - Research Scientist at Sakana AI

Yingtao Tian

Research Scientist at Sakana AI

Tokyo, Japan

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Summary

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Rockstar

🎓

Top School

Yingtao Tian is a research scientist with 13 years of experience building and productionizing machine learning systems, currently working in Tokyo after roles at Google and DeepMind. He bridges deep research and engineering—moving from PhD-level research at Stony Brook to hands-on software and ML engineering at Google, contributing to generative models, representation learning, and applied NLU. His open-source work spans NLP tooling (enhancing the polyglot multilingual toolkit with POS transfer and GloVe support) and backend reliability for projects like EvoJAX, showing attention to reproducible builds and dependency management. Comfortable across front-end tweaks to backend packaging, he blends UI sensibility with robust infrastructure and release practices. Colleagues describe him as someone who “cooks machine learning sauce,” reflecting a pragmatic, creative approach to turning research ideas into usable systems.

13 years of coding experience

11 years of employment as a software developer

Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Fudan University

Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Stony Brook University

English, Chinese, Japanese

Github Skills (16)

machine-learning10

javascript10

nlp10

back-end-development10

python10

natural-language-processing10

react10

package9

jax9

package-management9

package-manager9

html9

css8

build-automation8

animation7

Programming languages (6)

CSSCJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

google/evojax

Feb 2022 - Oct 2022

Role in this project:

Backend Developer

Contributions:23 releases, 6 reviews, 91 commits in 7 months

Contributions summary:Yingtao primarily contributed to the backend functionality of the `google/evojax` repository. They made minor fixes, likely related to dependencies and installation instructions for tasks within the EvoJAX framework. Furthermore, the user implemented version bumping and single-sourcing package versions via `setup.py` and `evojax/version.py`, demonstrating work on project build and release management. Finally, the user integrated and tested optional dependencies, such as evosax, torchvision and pandas.

makegirlsmoe/makegirlsmoe_web

Aug 2017 - Mar 2018

Create Anime Characters with MakeGirlsMoe

Role in this project:

Front-end Developer

Contributions:8 commits, 7 pushes, 1 comment in 6 months

Contributions summary:Yingtao primarily focused on front-end development tasks, including the addition and modification of UI components. They implemented a "News" section with related content, updated navigation links, and modified the "About" section and the official blog link in the navbar. They also fixed links and made some styling changes to the News component. These changes suggest a focus on updating the website's content and user interface.

reactdeep-learninggenerative-adversarial-networkanime-charactersgan

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