Winson's CV
Education
- M.S. in Scientific Computing and Applied Mathematics, University of California Santa Cruz, June 2023
- B.S. in Computer Science, University of California Santa Cruz, June 2022
Work experience
Data Science Summer Institute Intern
Jun. 2022 – Sept. 2022
Lawrence Livermore National Laboratory, Remote
- Conducted in-depth research on machine learning models with cohorts, presenting a range of innovative approaches for analyzing the SARS-CoV-2 Inhibitors dataset
- Accelerated 25% on data mining by implemented BeautifulSoup and Scrapy to efficiently extract data from diverse web sources
- Applied fine-tuning and downstream tasks techniques to enhance the CodeBERT model for experimental purposes, specifically in the detection of clone instances in the DataRaceBench environment
Amazon Alexa Prize Award, SocialBot
Aug. 2022 – Present
University of California, Santa Cruz, Santa Cruz, CA
- Optimized project efficiencies by 25% by collaborating with team members to comprehend the codebase and provided regular updates on independent work
- Increased efficiencies by 10% with deploying pre-trained language models on production-level API servers, enabling the generation of accurate and contextually relevant responses
- Achieved a 10% increase in rating by creating APL detail template where the text auto scroll as the voiceover speaks
Lab Assistant
Aug. 2021 – Jun. 2023
University of California, Santa Cruz, Santa Cruz, CA
- Building Website for Research paper filtering service
- Collecting data for Visual Language Navigation for ariel photo with navigation dataset
- Building Dynamical Models to distinguish the drosophila genes
Group Tutor
Aug. 2020 – Jun. 2022
University of California, Santa Cruz
- Teaching CSE 13S in the CS department
- Teaching students C programming, and data structures
- Helping to debug code, answer questions
- Hold office hours for group sessions
Skills
Languages
- Python, C, C++, CUDA/HIP(C++), Matlab, Fortran, SQL, JavaScript, HTML, CSS, Java, Bash, Swift, Latex
Frameworks
- Flask, PostgreSQL, React Native
- Visual Studio Code, Docker, Jupyter Notebook, Vim, Xcode, Postman, Git, Jira
Libraries
- PyTorch, TensorFlow, Pandas, NumPy, Keras, BeautifulSoup, Scrapy, Selenium, OpenMP, MPI, Qiskit, OpenCV
Services
Computer Science fundamentals
- Data Structure, Algorithms Analysis, Computer Vision, Natural Language Processing, Computer System Design, Computational Models
Mathematical fundamentals
- Geometry, Linear Algebra, Vector Calculus, Probability, and Statistics
Soft Skills
- Bilingual Communications, Teamwork, Reserach skills, Scripting
Publications
P. -H. Lin, C. Liao, W. Chen, T. Vanderbruggen, M. Emani and H. Xu, "Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study," 2022 Fourth International Conference on Transdisciplinary AI (TransAI), Laguna Hills, CA, USA, 2022, pp. 128-134, doi: 10.1109/TransAI54797.2022.00029.
W. Chen, T. Vanderbruggen, P. -H. Lin, C. Liao and M. Emani, "Early Experience with Transformer-Based Similarity Analysis for DataRaceBench," 2022 IEEE/ACM Sixth International Workshop on Software Correctness for HPC Applications (Correctness), Dallas, TX, USA, 2022, pp. 45-53, doi: 10.1109/Correctness56720.2022.00011.
Y. Fan, W. Chen, T. Jiang, C. Zhou, Y. Zhang, and X. Wang. 2023. Aerial Vision-and-Dialog Navigation. In Findings of the Association for Computational Linguistics: ACL 2023, pages 3043–3061, Toronto, Canada. Association for Computational Linguistics.
Teaching
