Summary
Overview
Work History
Education
Skills
Timeline
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Liwen Tang

Minneapolis,MN

Summary

Detail-oriented research assistant with advanced skills in Python, machine learning, and scientific computing. Proven ability to enhance data analysis workflows and optimize complex systems.

Overview

3
3
years of professional experience

Work History

Research Assistant for VERITAS

University of Minnesota - Twin Cities
Minneapolis, MN
05.2025 - Current
  • Improved very high energy (VHE) gamma ray event identification by applying Boosted Decision Trees (BDT) for gamma/hadron separation in the VERITAS analysis pipeline.
  • Extended the existing BDT framework to support additional observing conditions by adding different zenith angle bins, increasing usable data coverage.
  • Implemented a more robust optimization workflow by combining simulation with five real crab data runs, reducing reliance on a single dataset, and improving model generalization across seasons and atmospheric conditions.
  • Performed data calibration and reconstruction steps, trained and validated models, and selected an optimized BDT score cut to improve background rejection while maintaining gamma efficiency.
  • Demonstrated consistent performance across multiple seasonal datasets, strengthening VERITAS's sensitivity to faint sources, and enabling cleaner downstream spectral analyses.

Photoelectric Sensing Intelligent Car Competition

Soochow University
Suzhou, Jiangsu
03.2023 - 03.2023
  • Debugged and optimized control software for a photoelectric sensing autonomous car system.
  • Improved stability and performance through systematic testing, code refactoring, and parameter tuning.

Education

BA - Physics And Computer Science

University of Minnesota, Twin Cities
Minneapolis, MN
01-2024

Skills

  • Programming Languages: C, Python, Java, MATLAB
  • Scientific Computing: numerical methods, optimization, error propagation, data processing pipelines
  • Machine Learning: Boosted Desition Tree, feature engineering, model validation
  • Software Tools: GitHub, Linux/Unix shell, VS Code, LaTeX
  • Core CS Foundations: algorithms, data structures, object-oriented programming, debugging
  • Collaboration: technical communication, reproducible workflows, documentation, team-based development

Timeline

Research Assistant for VERITAS

University of Minnesota - Twin Cities
05.2025 - Current

Photoelectric Sensing Intelligent Car Competition

Soochow University
03.2023 - 03.2023

BA - Physics And Computer Science

University of Minnesota, Twin Cities
Liwen Tang