About me
Yusen Peng is an Honors Computer Science and Engineering student at The Ohio State University, specializing in AI. Yusen has a proven track record in developing practical tech solutions and contributing to research in machine learning.
- Location:Columbus, OH
- Age:21
- Research Interests:Machine Learning, Data Mining
Education
Bachelor of Science in Computer Science and Engineering
GPA: 4.00/4.00
Competitive Programming Club: Problem Engineer (2023-2024); Communications Director (2024-2025)
Research Experience
Research Assistant | Machine Learning in Time Series
Collaborate in building a comprehensive time series analytics library advised by Dr. John Paparrizos
Classification:
◦ Read research papers and take notes for a total of 10 time series classification algorithms
◦ Adapt the corresponding sklearn/PyTorch source code for all 10 time series classification algorithms
◦ Test 26 classifiers with at least 20 datasets each classifier, verify its testing results with reference sheets
Anomaly Detection:
◦ Read 1 comprehensive survey paper and take notes about time series anomaly detection
◦ Migrate the anomaly detection project seamlessly into the comprehensive time series library
Forecasting:
◦ Lead a group of 5 undergraduate students in the NASA Airport Throughput Prediction Challenge 2024
◦ Design and implement an end-to-end forecasting training/predicting pipeline of LightGBM model
Research Assistant | Data Analytics and Visualization
Analyzed natural disaster datasets and public housing datasets advised by Dr. Kelsea Best
Processed and visualized timing data with CSV files and plots using Python, pandas, numPy, matplotlib
Designed 20+ test cases and collaborated in writing a research paper in of 13 pages with 35+ figures
Summer Research Intern | Performance Data Visualization
Developed benchmarks to compare file I/O performance of 4 data formats advised by Dr. Suren Byna
Performed three types of data analytics techniques: preliminary data analysis, correlation analysis with visualization, regression analysis with generalized linear regression models
Integrated Python with pandas, matplotlib, seaborn, statsmodels to generate a total of 30+ figures
Publication
Assessing the equity implications of flood risk to public housing across the United States
Authors: Kelsea Best, Meri Davlasheridze, Yusen Peng
Presentation
A Comparison of HDF5 (h5py), NetCDF, Zarr, and CSV performing Common I/O Operations with a Single CPU Core
Presenter: Yusen Peng
Authors: Suren Byna, Sriniket Ambatipudi, Yusen Peng
Teaching Experience
Teaching Assistant | Data Structures and Algorithms
Grade homework and coding labs for a class of 40 students in CSE 2331: Data Structures and Algorithms
Help students with complexity analysis, data structures, graph algorithms in class and office hours
Teaching Assistant | Software Components
Grade homework and coding projects for a class of 40 students in CSE 2221: Software Components
Help students with programming knowledge and practice in Java during lab sessions and office hour
Industry Experience
Website Front-end Intern
Collaborated in developing, improving, testing, and maintaining the National STEM official websites
Accomplished 28 tasks of fixing front-end bugs and creating responsive web pages
Utilized HTML, CSS, WordPress, and Chrome Inspector for effective front-end development
Mobile Front-end Intern
Collaborated in developing, testing a mobile app called AIMEE with tools to learn emotional intelligence
Accomplished 51 tasks of fixing front-end bugs and implementing new mobile features
Utilized HTML, CSS, JavaScript, and React Native for effective front-end development
Get in touch!
Hit me up if you like machine learning or just want to chat!
- yusenrocks@gmail.com
- Location
- Columbus OH, United States
- Yusen Peng
- Github
- Yusen Peng