- Managed general inventory and technologies for the laboratory group- Generated unique methodology for analyzing large-scale, family-based, genetic data- Advanced application of statistical techniques to adequately analyze multi-family, multi-locus genetics for identification of Alzheimer's Disease related genes- Worked both independently and within a group to efficiently report results in large-scale genetic analysis- Trained in Machine Learning methods for advanced analytics

-Analyst for cardiovascular Genome Wide Association Studies (GWAS) in the Department of Biostatistics.-Focused on single nucleotide polymorphism (SNP) variant analysis and functional annotation.-Experienced with big data and appropriate analysis methods.

- Implemented k-means motif clustering for phage display data in Python. - Created a variant call format (VCF) file parser and genotype conversion tool in C++ for a pedigree analysis tool (SNPduo).- Utilized GitHub repositories for program version management and distribution.

-Worked as a researcher under multiple mentors in the Division of Infectious Diseases under Dr. Josué Pérez-Santiago, Dr. Davey M. Smith, and Dr. M. Winston Tilghman-Performed a plethora of tasks from wet lab work and experimental design to data analysis and paper writing.

Assisted groups of interdisciplinary students in six different humanitarian engineering projects, performed administrative tasks, organized assignments, and assigned grades to students.

- Cross referenced geographical coordinates with physical pictures taken by the ISS to ensure accuracy of simulations and generate offsets.-Uploaded clear pictures to the EarthKam website and the generated GA data (such as coordinates, time taken, date taken, etc.) for each picture. - Worked on finding unique location pictures and annotating the features for the website.

Traveled to Hsinchu, Taiwan to study wireless EEG signal processing and brain computer interface (BCI) design under Professor Li-Wei Ko for Summer Research.