• Proposed new optimization theory using integer programming and group theory.

• Developing parallelized data pipelines to minimize the daily compute costs of large-scale data ingestion and transformation.• Constructing data visualization software to automatically track daily equipment status updates.

• Computed large-scale product reliability predictions using machine learning over large databases.• Submitted a patent application for an AI-powered security product.

• Selected for college involvement to help new students navigate academic planning and social engagement.• Completed 100 hours of leadership and conflict-resolution training.

• Predicted the hourly price of Texas electricity up to 2050 using self-built exponential regression models.• Queried multiple SQL databases to present concise energy market data useful for price forecasting.

• Estimated the maximum revenue of electricity retail to quantify the profitability of new markets using MATLAB dynamic programming.• Synchronized price histories from multiple energy markets to produce a standardized dataset.

• Computed the carbon footprint of a novel hydrogen fuel technology to benchmark against competitor technologies.• Modeled output of solar-battery generators to show improved power stability compared to solar-only generators.

• Led twice-weekly sessions to teach students how to use prototyping equipment for engineering club projects.• Implemented new machining techniques and enforced safety practices to prevent accidents.

• Modeled how production yield is affected by variation in manufacturing processes using MATLAB numerical analysis.• Recommended an alternative procedure to significantly increase production yield and reduce wasted materials.

• Published a peer-reviewed paper at the 33rd IEEE Intelligent Vehicles Symposium 2022.• Optimized the accessibility of electric semitruck chargers along US highways using MATLAB nonlinear programming.

• Awarded the Science Scholar of Distinction by the MN Department of Education.• Proposed a cheaper, faster method for quantifying the viability of 3D-printed tissues and organs.• Programmed 3D-bioprinters using G-Code and tested 3D-printed tissues’ viability in-lab using light spectrometry.• Modeled the chemistry of 3D-printed tissue systems using COMSOL Multiphysics finite element analysis.

• Published results at the Society for Biomaterials 2019 Annual Conference.• Studied the biological safety of 3D-printed medical devices using FTIR and pH analysis.