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).
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Student ResearcherAi2San Diego, Ca, Us -
Phd Research InternNvidiaSan Diego, Ca, Us -
Research Scientist InternHillbot May 2024 - Present- Reinforcement learning, imitation learning, and simulation research for scalable and robust embodied AI- Business Strategy -
Co-FounderLux Ai Challenge Jul 2021 - PresentSacramento, Ca, UsCo-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. -
Ai Researcher At Su LabUc San Diego Jacobs School Of Engineering Jan 2021 - Feb 2023La Jolla, Ca, UsResearching 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. -
Undergraduate ResearcherUcsd Design Lab Oct 2019 - Feb 2023La Jolla, Ca, UsResearching 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 -
Founding President Of Acm Ai At UcsdAcm Ucsd May 2020 - May 2022San Diego, UsI 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. -
Ml Engineer InternQuantco Jun 2021 - Sep 2021Boston, Ma, UsDeveloping / 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 -
Software Engineer InternLaunchdarkly Jun 2020 - Sep 2020Oakland, Ca, UsPart 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 -
Computer Science TutorUniversity Of California, San Diego - Jacobs School Of Engineering Mar 2020 - Jun 2020La Jolla, Ca, UsWorking 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 -
Full-Stack Developer InternTaos Data Jun 2019 - Sep 2019Los Gatos, California, UsIndependently 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
Stone Tao Education Details
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Uc San DiegoComputer Science -
Uc San DiegoMath Minor -
International School Of BeijingHigh 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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