Mike has published more than 300 peer-reviewed papers focusing on statistics and large dataset analytics, and led international efforts to find more than 90% of the genetic risk factors for Parkinson’s disease while providing analytics support and infrastructure to dozens of collaborators around the world.
A Washington, D.C. native, Mike joined Neuron23 as a consultant because of his interest in genomically-informed drug targets and clinical trials in neurodegenerative diseases. He founded Data Tecnica in early 2017 after more than a decade of experience in big data analytics and methods research while consulting in a variety of fields.
A major aspect of Mike’s portfolio is big data in healthcare, particularly in genomics and using machine learning to better understand disease etiology as a path towards drug development. Quality, transparency and reproducibility are key values that underpin his work.
Described by some as efficient but chaotic, Mike likes working with people who are creative and capable, who take their time and don’t stress. “It’s also very important to me that the people I work with actually care about what they are doing,” he adds.
Self-described as being “much better at math than reading,” Mike holds a PhD in epidemiology and biostatistics from Temple University as part of the NIH Graduate partnership program.