CV
CV in PDF Version
Education
- B.Eng. in Electronics and Electrical Engineering, The University of Edinburgh, 2017
- M.S. in Electrical and Computer Engineering, The University of Texas at Austin, 2019
- Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2023
Professional Experience
- Summer 2022: Research Intern, Google
- Built different forecasting models to improve workload prediction at machine and VM level
- Developed effective reconciliation methods for time series with dynamically changing hierarchy
- Summer 2021: Research Intern, Intuit
- Developed hierarchical time series forecasting models that improved forecasting accuracy
- Improved efficiency of forecasting pipeline by writing concurrent and multi-GPU program
- Summer 2020: R&D Intern, Salesforce
- Implemented state-of-the-art text style transfer models and designed a web-based UI for demo
- Researched on text style transfer on small and unbalanced dataset. Implemented a Bayesian task adaptive meta learning algorithm to fine-tune pre-trained language models
- Summer 2018: Applied Scientist Intern, CognitiveScale
- Implemented session-based recommendation algorithms and achieved state-of-the-art performance
- Lead a team project of 5 interns to research “Ethical AI” and pitched a business idea to company
Skills
- Computer Skills: Python, R, LATEX, Shell Script (proficient); Java, Matlab, Verilog, C/C++, SQL (knowledge of)
- Tools: Tensorflow, PyTorch, TensorBoard, Scikit-Learn, Scipy, etc.
- Specialty: Time series, variational inference, generative models, transformers
- Languages: Mandarin (native), English, French
Publications
