- Performed programmatic analysis for customers at various stages of the drug discovery process.- Standard analyses involved Next Generation Sequencing data (NGS) and typically consisted of ingesting and transforming customer data into a standard format, quality filtering, and downstream analysis- Downstream analysis consisted of comparison of study variables through statistical analysis and informative plots and figures - Custom analyses could have involved creating code or pipelines to meet more specific client requirements (target discovery, identify target/disease relationships, etc.)- Examples of custom analyses included database mining, analysis of areas of interest in publicly available datasets, and delivery of documented & version-controlled custom workflows for client use- Interpreted results, created clear and informative client facing presentations, and presented findings to clients

- Collaborated with scientists in the Genome Therapy Program to analyze data to from gene therapy research projects- Projects included NGS-based analysis, often involving custom pipeline creation to analyze unique datasets- Pipelines included standard raw-data manipulation and QC filtering, downstream statistical analysis, plot generation, and comparison of data to previous studies and/or publicly available data- Documented all workflow processes, results, and interpretation methods for traceability. Through cooperation with project leads, was able to inform decisions on next steps or future projects- Collaborated with project lead to prepare and present findings to key decision makers within the program- Assisted scientists and leads with data access and storage via HPC through creation of an automated archiving system to store large data, develop code to move raw data to short-term storage, and develop workflows to obtain raw data from source- Maintained up-to-date workflows and code by searching literature and other resources for new software and analysis methods. Ensured results were scientifically robust, well documented, and up to date with current industry standards

Bioinformatics analyst role in the Epigenetics Institute at UPenn- Performed standard NGS analysis for scientists in the Epigenetics Institute and their epigenetic related projects, collaborating with leads and lab managers to evaluate the best methods of downstream analysis- Improved internalized pipelines and workflows, resulting in more efficient and thorough analysis.- Successful workflow updates included transitioning the core pipeline structure and language from Perl to Python and regular updates to new software in analysis, improving workflow efficiency and scientific accuracy- Collaborated with fellow analysts to develop new pipelines to process and analyze NGS data from new and promising sequencing methods. These efforts expanded the research and analysis capabilities of the institute.

Evaluated databases with protein subcellular localization information and developed an R Shiny program compiling findings and allowing users to easily explore results. Tool and findings assisted analysts in their target-identification studies serving as a valuable resource and saving time on analysis

Assistant Swim Coach for St. Joe's Men's Swim Team for the entirety of their 2017-2018 Season.During this time, also served as a swim instructor for Christo Rey High School in a program run through the aquatics center at St. Joseph's Prep. Program was designed to ensure students graduating from Christo Rey Highschool had basic survival swimming skills. In this capacity, taught basic water safety and swimming skills to seniors with little to no prior swimming experience, to meet their graduation requirement.

- Worked in a microbiology lab with a pharmaceutical company specializing in topical creams, lotions, and ointments performing all aspects of routine QC testing- Took on full responsibilities of lab beyond the position for several months at time due to staffing limitations, keeping day-to-day operations of the company on track