CV

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

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

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