Projects

Research Paper

HRI in Autonomous Vehicles

Code of Ethics Analysis

Data Visualization

Space-based Networks

Examines how the DoD and U.S. Space Force are integrating commercial space capabilities to modernize legacy space architecture amid rising near‑peer threats. It maps key stakeholders, identifies major obstacles to commercial integration, reviews current mitigation efforts, and outlines a future state where improved acquisition, risk‑sharing, and incentives enable more resilient commercial–defense partnerships in space.

Explores how humans develop, calibrate, lose, and regain trust in autonomous vehicles (AVs), including individual differences in trust and AV acceptance. It identifies measurable and subjective indicators of how well trust aligns with actual AV capabilities and emphasizes multimodal, user‑centered human–machine interfaces that lower cognitive load and improve both safety and trust

K-means clustering on student grades to segment performance patterns using R and ggplot2.

Recreated Economist scatterplot of corruption perceptions versus human development across countries.

Exploratory data analysis on diamonds, vehicles, and income datasets to reveal pricing, efficiency, and distribution patterns.

NASA GISS global temperature anomalies visualizations of seasonal and regional warming trends over time.

Compares the codes of ethics of the IEEE, IEEE Computer Society, and British Computer Society, examining their similarities, differences, and effectiveness in guiding professional conduct. It concludes that the BCS code is the most complete due to its explicit disciplinary provisions, and argues that strong codes of ethics are essential for organizational reputation, stakeholder trust, and risk mitigation.

Analysis Report

Visualizations and Analyses Using R & RStudio

A creative take on ethical harms, this design fiction follows Jamiu, a highly skilled but financially struggling scammer, who is hired by a ruling political party to create a hyper‑realistic deep fake video of the opposition candidate threatening genocide against rival ethnic groups, igniting nationwide chaos and ethnic violence. As the fabricated clip circulates across news and social media, it exposes how a lack of ethical conduct in technology can disrupt a society. The story illustrates how technology can be used to exploit existing tribal tensions and digital illiteracy.

Analyzes predictors of alopecia onset and progression across multiple datasets, focusing on genetics, age, lifestyle, medications, and hair-care practices. It compares major alopecia types and finds that genetic predisposition and damaging hair practices are the strongest indicators of baldness risk. Age, stress, hormones, and medication history show weaker and less consistent associations, indicating they are not reliable standalone predictors of hair loss

Analysis Report

Ethics Fiction

Design Fiction

Predisposition to Baldness Analysis

Datasets Analyses Research Paper

Paralegal

Alexandra Lozano Immigration Law / Nov 2021 - Oct 2022