Stone Tao

Stone Tao Email and Phone Number

Student Researcher @ Ai2
San Diego, CA, US
Stone Tao's Location
San Diego, California, United States, United States
About Stone Tao

I am a PhD student at UC San Diego, where I will be advised by professor Hao Su. I'm grateful to have my research be funded by the NSF Graduate Research Fellowship.My current research interests include long-horizon problems, especially in robotic manipulation, with a general goal of building efficient, adaptable, and capable embodied AI. To this end, my research revolves around reinforcement learning, few-shot learning, imitation learning, as well as high-quality robotics benchmarks.On the side, I'm also interested in building and running high-quality open-source AI competitions for education and research. I co-founded the Lux AI Challenge and collaborate frequently with Kaggle to build and deliver these AI competitions.Previously I was an undergraduate at UC San Diego, advised by Hao Su (on robotics and reinforcement learning) and Steven Dow (on AI x HCI). During my undergraduate I interned at QuantCo (machine learning) advised by Ben Thompson and LaunchDarkly (full-stack software engineering).

Stone Tao's Current Company Details
Ai2

Ai2

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Student Researcher
San Diego, CA, US
Website:
allenai.org
Employees:
312
Stone Tao Work Experience Details
  • Ai2
    Student Researcher
    Ai2
    San Diego, Ca, Us
  • Nvidia
    Phd Research Intern
    Nvidia
    San Diego, Ca, Us
  • Hillbot
    Research Scientist Intern
    Hillbot May 2024 - Present
    - Reinforcement learning, imitation learning, and simulation research for scalable and robust embodied AI- Business Strategy
  • Lux Ai Challenge
    Co-Founder
    Lux Ai Challenge Jul 2021 - Present
    Sacramento, Ca, Us
    Co-founder of the Lux AI Challenge. We build creative, accessible, inclusive, and engaging AI challenges that necessitate outside of the box engineering and analysis. Currently collaborating with Kaggle to develop the future of AI challenges and an exciting approach to discovering creative engineering talent and encouraging people to learn AI and programming. Our first season has gained 900+ Github stars (more than any other AI challenge of our type) and 1400+ competitors, 20000+ submissions, with many open source contributors, generating all types of solutions from rule based to RL.I spearhead the AI environment design and competition design, in addition to cultivating our collaborations with Kaggle and other sponsors of our competitions.
  • Uc San Diego Jacobs School Of Engineering
    Ai Researcher At Su Lab
    Uc San Diego Jacobs School Of Engineering Jan 2021 - Feb 2023
    La Jolla, Ca, Us
    Researching Reinforcement Learning (RL) and Robotics under Professor Hao Su. Currently researching skill translation across different morphologies. Previously building gym environments for RL benchmarks to benchmark RL agents in ManiSkill on SAPIEN, a simulated part-based interactive, 3D environment. ManiSkill was published to NeurIps 2021: https://arxiv.org/abs/2107.14483Environments are being used for our lab's manipulation skill challenge sponsored by Qualcomm AI Research: https://github.com/haosulab/ManiSkill. Further, I'm developing the ManiSkill challenge platform full stack with Python, Docker, MongoDB, Typescript.
  • Ucsd Design Lab
    Undergraduate Researcher
    Ucsd Design Lab Oct 2019 - Feb 2023
    La Jolla, Ca, Us
    Researching at the intersection of AI and HCI. Currently researching NLP summarization methods, tree learning models, and how to introduce crowdwork to improve models, fairness, trust, accountability etc.Previously worked as a software engineering intern. Worked on technology that facilitates research at the intersection of social computing and design. Also developing tools and techniques that change the way people solve complex problems creatively and collaboratively. Specifically working under Professor Steven Dow to develop the Design for San Diego (D4SD) platform
  • Acm Ucsd
    Founding President Of Acm Ai At Ucsd
    Acm Ucsd May 2020 - May 2022
    San Diego, Us
    I founded ACM AI at UCSD with the goals of cultivating a community of AI enthusiasts and to help engage the UCSD community with the broader AI community. Most importantly I want to help make AI more accessible and fun to everyone.I help lead the planning of various activities such as AI workshops, AI competitions, networking events, and research panels etc.
  • Quantco
    Ml Engineer Intern
    Quantco Jun 2021 - Sep 2021
    Boston, Ma, Us
    Developing / researching high precision and accurate white-box function approximation using deep neural nets, decision trees, and boosting. Helps automatically migrate slow, complex, hand-built calculators in old systems to new systems, and learn fast differentiable approximations of these functions for analysis purposes. Results beat LGBM, deep neural nets (by themselves), and other methods by 100x or by being feasible in high dimensions.Developing OCR+NLP tools for analysis of insurance documents for automatic categorization of insurance types and their propertiesUsed Pytorch, Jax, Flax, Optax, scikit learn, scipy, Pandas, GCP
  • Launchdarkly
    Software Engineer Intern
    Launchdarkly Jun 2020 - Sep 2020
    Oakland, Ca, Us
    Part of the full stack team Squad Oinx, worked on feature workflows and semantic patches to enable state independent scheduling of feature flagging, allowing users to release complex features with confidence. Feature was released to some of the largest business customers of LaunchDarkly. Developed REST API with Go to introduce an approval review system for feature flagging. Used Go for backend and React + Typescript for frontend
  • University Of California, San Diego - Jacobs School Of Engineering
    Computer Science Tutor
    University Of California, San Diego - Jacobs School Of Engineering Mar 2020 - Jun 2020
    La Jolla, Ca, Us
    Working under Dr Paul Cao to teach CSE 12: Intro to Basic Data Structures and OO Design to tutor 700+ students. Ran open lab hours to help students with programming assignments, grade assignments, and answer student questions during lectures, and writing some assignment test cases
  • Taos Data
    Full-Stack Developer Intern
    Taos Data Jun 2019 - Sep 2019
    Los Gatos, California, Us
    Independently developed and maintain a Node.js Connector to allow Node.js apps to connect to the company’s product, TDengine, an open source big data platform with over 11,000+ stars on GitHub. Created a C interface to enable high speed interaction with TDengine with subscription, async, and stream functionality.Independently developed and designed the company website: https://www.taosdata.com. Integrated Wordpress as a headless CMS, serving up to 18k+ daily users.

Stone Tao Skills

Javascript Node.js Web Development Java Html Cascading Style Sheets Python Php Git Mysql Jquery Tutoring Pandas Numpy React.js

Stone Tao Education Details

  • Uc San Diego
    Uc San Diego
    Computer Science
  • Uc San Diego
    Uc San Diego
    Math Minor
  • International School Of Beijing
    International School Of Beijing
    High School Diploma

Frequently Asked Questions about Stone Tao

What company does Stone Tao work for?

Stone Tao works for Ai2

What is Stone Tao's role at the current company?

Stone Tao's current role is Student Researcher.

What schools did Stone Tao attend?

Stone Tao attended Uc San Diego, Uc San Diego, International School Of Beijing.

What skills is Stone Tao known for?

Stone Tao has skills like Javascript, Node.js, Web Development, Java, Html, Cascading Style Sheets, Python, Php, Git, Mysql, Jquery, Tutoring.

Who are Stone Tao's colleagues?

Stone Tao's colleagues are Dirk Groeneveld, A K Y, Bailey K., Maria Florenciañez, Jj Yang, Fangzhou Hu, Jeff Da.

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