Jon's background in mechanical and biomedical engineering has emphasized critical thinking, problem-solving, and quantitative statistical analyses. Over the past 9yrs, he has designed and executed over 50 novel cadaveric research studies in collaboration with academic clinicians supporting the design, submission, or marketing of over 80 medical device products and surgical techniques; and co-authored over 20 peer-reviewed journal articles and over 90 conference presentations. With a proven quantitative background and education from Texas Tech University, Drexel University, and the University of Pennsylvania, he has pivoted his research skills towards a broader application of data analytics and is further expanding his expertise in data science and programming skills in R & Python at the NYC Data Science Academy. He is currently seeking new opportunities that leverage his existing background in data analysis, creative problem solving, and effective communication skills.
