Columbia University, MBA
The Johns Hopkins University, M.S. Biomedical Engineering
Chicago Kent-College of Law, J.D.
University of Illinois at Chicago, B.S. Biomedical Enginering
Roger C. Hahn
Roger is a registered US patent attorney who has conducted bench research and designed and built biomedical devices. He is experienced in patent preparation and prosecution, licensing, due diligence, post grant proceedings, and opinion work. His clients range from start-ups, to universities, to mid-size companies, to Fortune 500s. His practice covers electrical, chemical, life sciences, and software technologies.
Roger believes innovation is not a buzzword but a responsibility. He is deliberate and conservative in his practice, but implements new ideas, particularly if they relate to improving and optimizing the practice of patent law.
Roger has researched and presented commentary on value-based healthcare, particularly in reimbursement of laboratory developed tests (LDTs) for companion diagnostics. As a business-minded patent attorney, he is equally comfortable reviewing technical reports in MATLAB as he is calculating free cash flow in Excel.
Roger is a change agent. He has successfully lobbied for various groups such as the creation of a stand-alone committee focused on the biomedical industry in a large, international professional organization. His dedication to his field has led to professional acknowledgment and awards.
A few selected areas of Roger's technical expertise include surgical and medical instrumentation, medical imaging systems, recombinant DNA and RNA technologies, MEMS device fabrication and architecture, Personalized Medicine (SNV, CNV, etc.), DNA analysis instrumentation and techniques, Polymer chemistry, Pharmaceuticals, Biomaterials, Software, Image Processing, Agricultural chemistry, Specialty chemical products, Mechanical devices, and Bioinformatics.
In his spare time, Roger works on new bioinformatics tools. His recent work includes predictive modeling on large datasets. To see word-clouds generated by a Natural Language Processing pipeline Roger developed, click here.