Trustworthy AI Lab
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The Trustworthy AI Lab at UCLA envisions AI 2.0 as being driven by trustworthiness, surpassing mere performance, and being built upon generative data, enhancing raw data. Our lab develops data-centric tools, such as artificially generated tables, which enable privacy-preserving data sharing, with applications in digital marketing, finance, and healthcare sectors. On the theoretical front, the lab focuses on the emerging field of "Generative Data Science," which elucidates the underlying principles behind generative AI.
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Data is the new oil in the 21st century. Our lab aims to generate clean and renewable oils via data synthesis.
Master/PhD/Postdoc (in Stat or CS) recruiting
Our lab is actively seeking Master, PhD, and Postdoctoral researchers who possess a strong passion for Trustworthy AI, Generative Data Science, and AI Agents. You are welcome to apply for PhD/MS/MASDS program in the Dept of Statistics and Data Science OR PhD/MS program in the Dept of Computer Science. For more information, please refer to our research page. If you are interested in joining us, kindly send your CV to guangcheng@ucla.edu.For Postdoc applicants, you can also apply via President Postdoc Fellowship Program or UCLA Chancellor Postdoc Fellowship Program.
Graduate intern (in Stat or CS) recruiting
If you are interested in joining our lab for an internship, please send your CV and 3-page slides (detailing your education background, prior research experiences, current research interest, together with the intended intern period and # of hours you can contribute per week). It would be helpful to explain why your research aligns with the lab's mission; see our research page.Summer undergrad intern (rising senior only)
We welcome undergraduate students majoring in statistics, computer science, or mathematics to apply for our summer internship program. Our past summer interns have gone on to attend top graduate schools, such as Stanford, Berkeley and Princeton. Here are some sample publications, e.g., Synthetic Audio Data in ICML，Generative Data Theory in ICLR and Tensor Graphical Model in IEEE-PAMI, that were completed by our past summer interns. If you're interested in joining us, please send your transcript and CV to guangcheng@ucla.edu.Oversea visiting students
Please check out the UC Education Abroad Program for visiting reciprocity students from over 100 partner institutions (e.g., Tsinghua Univ, Peking Univ and Fudan Univ in China) in approximately 30 countries. If you are interested in visiting us, kindly send your CV and visiting period to guangcheng@ucla.edu.Research Themes
- Large Tabular Model
- Generative Data Science
- Trustworthy Synthetic Data
- Generative Model
- Machine/Deep Learning Algorithm & Theory
- Trustworthy Machine/Deep Learning
- Statistical Machine/Deep Learning
- Statistical Foundations of Data Science
- High Dimensional Statistics
- Mathematical Statistics
- Bussiness Intelligence
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