is the Intellectual Property Fellow at Ventech Solutions, a healthcare technology company that manages quality data for the Center for Medicare and Medicaid Services (CMS). He has worked in technology commercialization and business development at The Ohio State University where he is also a graduate research fellow in life sciences. He is a subject matter expert in biotechnology and bioinformatics with a master’s degree from Binghamton University (SUNY) and 7 years of experience in the analysis of next-generation sequencing data.
In recent years there has been a paradigmatic shift towards commercializing technology through startups. There is a universal understanding that university inventions are in early technology readiness level and need substantial development to be ready to go to market. Many universities have taken it upon themselves to fund some of the startups, sometimes co-funding alongside venture funds… The next frontier for this industry will likely be in the transformation of data-rich sectors using artificial intelligence (AI) and machine learning technologies. One area largely accumulating data is the healthcare sector. Medical knowledge is doubling every 73 days, yet we are barely scratching the surface of utilizing this data. With our computing power today and the new era of AI we are at the cusp of a healthcare revolution. Academic institutions are sitting on massive amounts of valuable data that is vastly underutilized, and research institutions will soon begin to recognize and develop healthcare data into the next revolutionary asset.