Jackson Mcbride Email & Phone Number

Oxford, GB

New York City Metropolitan Area

Conducted data collection on former Columbia Graduate applicants by utilizing web scraping APIs to compile and manage extensive datasets. Built and ran logistic and lasso regression models to generate predictive inferences on current applicants, providing actionable insights to support admissions decision-making. Analyzed applicant data to identify trends.

Compiled and processed a dataset of over 60,000 high-resolution satellite images to train a Convolutional Neural Network for a vessel detection system. This model focused on identifying non-compliant vessels that do not relay AIS signals, enhancing maritime monitoring and security applications. Developed preprocessing pipelines and model optimization.

New York City Metropolitan Area

Conducted Research under PhD candidate Bhargav Gopal

New York, United States

Worked under PhD candidate Jeremy Johnson to analyze reinforcement Learning algorithms to optimize quantum signal detection methods, focusing on signal-to-noise ratio enhancement and real-time adaptability in complex quantum environments.

Conducted market sizing analysis for personal satellite communication devices and emergency beacons, delivering data-driven insights for strategic planning. Performed comparative market analysis on peer companies to assess investor response to first-time dividend announcements, providing a benchmark for market reaction. Additionally, experimented with.

Performed in-depth analysis of company tax data to evaluate potential acquisition targets for a search fund, identifying financial strengths, risks, and tax efficiencies. Developed and refined LBO models to assess the viability of prospective acquisitions, focusing on cash flow projections, debt structure optimization, and return on investment potential to.