Karen J. Maschke is a Research Scholar at the Hastings Center, a bioethics research institute in Garrison, New York. She has a PhD in political science from Johns Hopkins University, a master’s degree in bioethics from Case Western Reserve University, and was a Bioethics Fellow at the Cleveland Clinic, an academic medical center in Cleveland, Ohio. In 2013 she attended the Neuroscience Boot Camp at the University of Pennsylvania’s Center for Neuroscience & Society. The Boot Camp gives participants a basic foundation in cognitive and affective neuroscience and equips them to be informed consumers of neuroscience research. She has been involved with several NIH-funded studies that focused on the legal, ethical, and policy issues surrounding human genomic research and translational genomics. More recent work involves exploring how values, interests, and political ideology play a role in shaping, framing, and evaluating evidence about the potential benefits and harms of new biomedical technologies, including stem cell interventions and novel neurotechnologies. An article co-authored with Michael K. Gusmano that explores the recent debate about patients’ access to novel stem cell interventions will be published in 2016 in the Journal of Health Politics, Policy and Law.
Karen Maschke
Researcher Scholar, The Hastings Center
Participant In These Roundtable Discussions
Thu
Jan 1st
2015
Jan 1st
2015
Watch
Science and the Big Questions: Roundtable Series on the Physical and Spiritual World, the Brain-Mind Connection, and Human Development and Genetics
This series of fourteen roundtables will explore fundamental questions across the sciences and humanities, including knowledge and its limits, infinity, complexity and emergence, consciousness, memory, free will, genius, development, and the nature of human experience.
Sat
Feb 20th
2016
Feb 20th
2016
Watch
Genes, Computers, and Medicine
These roundtables will explore how advances in computational neuroscience, molecular biology, and genomics are transforming understandings of disease, shifting perceptions of illness toward more mechanistic, data-driven, and personalized frameworks, and enabling earlier detection, refined diagnosis, and targeted therapies.