Forecasting Flu Epidemics using Google Search Engine, R, and High-Dimensional Regression
This project involved replicating Samuel Koh's ARGO paper and comparing the data for publication. Flu Epidemic data was taken from public sources such as CDC and Google. The data was then used in junction with Google Search Engine to see if there was some relationship between frequently searched terms and the flu. The data was then mapped and forecasted using the ARGO function in R. Diagrams will be published in Dr. Hongzhe Li's book in the near future.
Gene Expressions: Peanut Allergies
Partnered with the Children's Hospital and Perelman School of Medicine, this project involves the use of multiple comparisons for the analysis of specific gene expressions in response to peanut allergies. Techniques used include reverse transcription, multiple comparisons, false discovery rate (FDR), and programming using R.
Vivologic Asthma Analysis
This project was primarily an analysis, brute force project that involved the use of Vivologic and Excel to analyze data from patients suffering from Asthma. Coding was also done through SPSS, in which Andrew wrote a protocol and guide to using the program. Andrew worked and mentored this assignment with two other researchers.
An Analysis of Adverse Events: Aflibercept with second-line Docetaxel as a novel treatment against Non-Small Cell Lung Cancer
Conducted a research project with the help of data from Project Datasphere to conduct statistical analysis on a specific chemotherapy. The procedure involved analyzing adverse events and their severity through the use of java and R. This project was displayed at the Dallas Regional Science Fair.
Targeting Respiration Rate and PCO2 as a Beneficial Approach for Panic Disorder
This project involved the analysis of Capnometer assisted feedback as a means of fighting against panic disorder. Through the use of breathing therapy (BT) and a capnometer, data on O2, SpO2, Heart Rate, and pCO2 were taken. Afterwards, analysis through the use of SPSS and Excel was done.
Genetic Casework Visualization
A basic project involving the use of R, R Shiny, and plotly to create an application that displayed genetic data. The data used ranged from 0-100 counts and was designed for a conference at UT Southwestern Medical School.
The SMART File Search Engine
This project involved the use of SAP ABAP to create a SMART File Search Engine that allowed users to efficiently search and store their files. Although the program could have been coded in Java, SAP ABAP was learned and used due to its efficiency and also applications in the real world. Machine Learning and Vector Algorithms were incorporated to allow for better searches.
Cyberbullying and Depression: Adults and Adolescents
This project was to see the extent of cyberbullying and depression in both adults and students. This was done through anonymous surveys that involved signed consent forms. Quickly, the project changed from a science research project to a project that rose awareness in the local community and school.