Landy Sun holds a BS in biomedical engineering from Johns Hopkins University. He leverages his extensive technical and analytical skillset alongside his experience with Python, R, Matlab, GIS, and SQL in his work at Gryphon. Landy specializes in conducting risk assessments and performing data analysis to support decision-making for policies governing biosecurity and biosafety topics, including emerging infectious diseases and intentional CBRN attacks. He has also led the development of virtual training tools for instructing laboratory adherence to biosafety/biosecurity guidelines, and for training volunteers and researchers in emergency response scenarios.

Dr. Pinney is an immunologist with expertise in the immune system processes that both support a healthy bodily state and promote proper responses to infection and disease. His doctoral studies utilized cell biology, imaging, and computational methods to better understand how our immune systems can be harnessed to treat cancer. At Gryphon, his work focuses on projects with healthcare implications that leverage data science techniques to better understand disease-associated risks and guide disease prevention strategies. Dr. Pinney has a B.A. in Biology from Hamilton College and a Ph.D. in Immunology from the University of Rochester.

Dr. Henry Wyneken is a statistician with expertise in predictive analytics, experimental design, and communication of complex statistical concepts and results. He values using statistics to fairly, but severely, test the usefulness of ideas in the real world. Dr. Wyneken earned his PhD in Statistics from the University of Minnesota, where his research focused on the benefits of combining information from multiple plausible models. Prior to joining Gryphon, Dr. Wyneken worked at Syngenta Seeds Inc., where he performed varied statistical analyses to support research to develop new hybrid corn varieties and manage the supply chain of hybrid seed corn. At Gryphon, he provides analytical support to projects in a wide variety of domain areas, including evaluation of the risk of lab accidents and visualization of COVID-19 vaccine effectiveness data.

Laurel MacMillan, MS is a statistician with extensive experience in statistical inference and computing problems. Since joining Gryphon in 2016, Laurel has worked on a diverse range of health-related research, including differential diagnosis of infectious diseases, spatially explicit disease risk in the US, and biological changes resulting from acute radiation exposure. Laurel’s graduate research focused on the development of novel statistical methods to share error in multiple hypothesis problems on sequential data. Laurel holds a BA in mathematics from the University of Virginia and an MS in statistics from American University.