Experiences

Most of the works that I have done is related to data science and machine learning research. I also have experience with full stack development. In addition, I am also involved with teaching and mentoring through UW Madison CS’s Peer Mentor program. See research and teaching for more details. Also see my full CV.

Education

• B.S. in Computer Science, Data Science and Mathematics, University of Wisconsin-Madison, 2025 (expected).
  • GPA: 3.964/4.000
  • Relevant Coursework (Taken and In Progress): Advanced Algorithm, Data Structure, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Database Management System, Big Data System, Intro to Computer System, Discrete Math, Linear Algebra, Probability, Real Analysis, Data Science Modeling.

Work Experience

• Undergraduate Research Assistant, Wisconsin Institute for Discovery, 2023 - Present.
  • Research on effect of fumigation on microbiomes in soil.
  • Advisor: Claudia Solís-Lemus.
• Undergraduate Machine Learning Researcher, UW-Madison Material Sciences, 2023.
  • Research on deep learning for medical image classification.
  • Advisor: Dane Morgan.
• Undergraduate Teaching Assistant, UW-Madison Computer Sciences, 2022 - Present.
  • Peer Mentor for CS 320: Data Science Modeling II. (Spring 23, Summer 23, Fall 23)
  • Peer Mentor for CS 220: Data Science Modeling I. (Fall 22)
• Student Developer, UW-Maidson Division of Information Technology, 2022.
  • Developed an interal web application for UW-Madison DoIT Help Desk.
• Support Specialist, UW-Madison Division of Information Technology, 2021-2022.
  • Provided technical support for UW-Madison students, faculty and staff.

Skills

• Programming Languages: Python, Java, C, C++, JavaScript, HTML, CSS, SQL, R
• Other Tools: PyTorch, TensorFlow, Numpy, Scikit-learn, Pandas, Matplotlib, Flask, React, Node.js, MySQL, Sqlite3, Git, GCP, Linux.