• Developed MATLAB algorithms to analyze drug flow, concentration, and effectiveness from clinical X-ray videos.

• Analyzed neurological clinical trial data to determine device effectiveness, accuracy, and reliability.

• Collaborated with Northwestern University medical students on joint research resulting in posters for the Society of Neuro- Oncology (SNO) featuring neurological drug delivery literature review and data analysis of Enclear’s device functionality and efficacy.

• Instituted, documented, and optimized 100+ test cases to enhance and validate device requirements for 5 devices used for Antibiotic Susceptibility Testing resulting in updated testing protocols for 2 generations of products and 20+ software versions.

• Completed 200+ test-runs and ad hoc trials demonstrating the mechanical, electrical, and software features of 5 unique devices’ functionalities and failures. Organized all acquired data into format to be used by company to assess design failures and prepare for future advancements.

• Coordinated efforts to debug and solve issues discovered from test procedures. Lead teams to investigate potential issues and presenting solutions to lead engineers and microbiologists.

• Assisted in programming and development of antibiotic testing algorithms in Python. Involved programming system to make real-time decisions about antibiotic results, training the algorithm with proper samples, and analyzing statistical results to measure effectiveness of protocol alterations.

• Designed reliable research protocols to measure noninfected and infected COVID-19 patients’ airborne particles utilizing a company invented and designed breathing apparatus.

• Created and executed research projects, accumulated, and organized databases, and statistically analyzed data for assessment of exhaled aerosol in human subject volunteers in relation to environmental factors, COVID-19, and the company’s hygiene product (FEND, Time Magazine Invention of the Year 2020).

• Collaborated with professionals at Harvard Medical School, NIH, HSPH and Columbia University resulting in co- authorship of 2 peer-reviewed publications.

• Constructed and implemented standardized protocol to diagnose critical device failure modes, quality-controlled device limits, and assessed product innovation opportunities.

• Formulated and developed solutions and SOLIDWORKS models to optimize product development and effect while preventing device failure, resulting in a 90% decrease in failure mode and a filed patent pending application.

• Processed COVID-19 specimen in the preanalytical department.

• Handled data entry; unboxed, mapped, and sorted specimen; and scanned/manifested requisitions.