Developed MATLAB algorithms to analyze drug flow, concentration, and effectiveness from clinical X-ray videos.
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Analyzed neurological clinical trial data to determine device effectiveness, accuracy, and reliability.
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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.
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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.
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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.
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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.
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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).
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Collaborated with professionals at Harvard Medical School, NIH, HSPH and Columbia University resulting in co- authorship of 2 peer-reviewed publications.
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Constructed and implemented standardized protocol to diagnose critical device failure modes, quality-controlled device limits, and assessed product innovation opportunities.
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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.
