The Bioengineering department has two separate speakers scheduled for this week:
· Dr. John Medaglia presenting a Research and Teaching seminar on Friday, 2/15/2019 (See below details) which is being hosted by the Bioengineering but he is not part of the Spring 2019 Bioengineering Seminar Series.
· Dr. Yun Chen (see information below) is scheduled to speak on Thursday, 2/14/2019 (See below details) as part of the Spring 2019 Bioengineering Seminar related to BENG 800.
I encourage you to attend both events, if your schedule permits. A sign-in sheet will be available for both events to ensure you receive credit for your attendance.
Academic Program Assistant
Department of Bioengineering
3100 Peterson Family Health Services Hall
Yun Chen, Ph.D.
Johns Hopkins University
Thursday, February 14, 2019
12:00 pm – 1:00 pm
Krasnow, Room K229
Developing a multi-scale toolbox to study biophysical effects on phenotypes and behaviors of the cells.
It is important to understand how cell mechanics integrates with other biophysical and biochemical factors in biological systems to sustain normal physiology or to cause pathology such as cancer, muscle atrophy, Down syndrome, etc. across molecular, cellular and tissue levels, in order to develop better therapies. In the first part of the talk, Dr. Chen will present their ongoing effort to apply 3D bioprinting and other bio-fabrication techniques to investigate the mechnochemical interactions between microenvironment and cells. In the second part of the talk, she will present a high-throughput microfluidics technique recently developed by our group to facilitate measurements of cell mechanics parameters at the dorsal side of the cell, including molecular binding strengths, local traction forces, and viscoelastic properties. By adjusting the flow rate, the force magnitude exerted on the cell can be modulated ranging from sub-pN to nN to perturb various force-dependent processes in cells. Up to 50 events can be measured simultaneously in a single experiment. Integrating the microfluidic techniques with the analytic framework established in computational fluid dynamics, our method is reliable, accurate, economic and efficient.
Dr. Yun Chen is an assistant professor in the Department of Mechanical Engineering, at Johns Hopkins University. She is specialized in developing multi-scale, multi-modal imaging tools to study how mechanics integrates with other biophysical and biochemical factors to sustain normal physiology or to cause pathology.
John Medaglia, Ph.D.
Assistant Professor, Applied Cognitive & Brain Sciences, Drexel University
Thursday, February 15, 2019
Merten Hall, Room 1203
Research Seminar: 11:00 am – 12:00 pm
Toward Cognitive Neuroengineering for Executive Control Systems
Cognitive neuroengineering is the use of neuroengineering to solve applied problems in cognitive neuroscience. Time-efficient algorithms are available to rapidly model input-output relationships between brain stimulation, neural activity, and measured behavior. Given these techniques, we can use conventional and emerging approaches from control engineering – a branch of systems engineering – to address pervasive problems in brain stimulation in experimental and clinical contexts. In this talk, I will describe a cognitive neuroengineering approach to optimizing well-defined attention and other executive systems. In particular, I will describe how pairing MRI-based techniques via human connectomics can provide the foundation for personalized neuromodulation. Using recent innovations in individualized network mapping, new and precise approaches can be refined and tested against standard practices.
Teaching Seminar: 3:00 pm – 4:00 pm
How Bioengineering Can Enhance Basic and Translational Cognitive Neuroscience
Over the past few decades, Cognitive Neuroscience has led to profound gains in our understanding of how the brain supports mental activity. However, it has been less clear how our increased knowledge can lead to new techniques to optimize cognition. At present, it is becoming clear that problems in cognitive rehabilitation could benefit by being viewed as challenges in forward and reverse engineering. This state of affairs is analogous to the historical progression in neural motor control, where purely descriptive and biological studies gave way to increasingly quantitative and technical solutions to model and improve motor functions. In this seminar, we will consider how Bioengineering approaches that began in motor control systems can be extended to problems in "higher-ordered" cognitive systems. As a result, we will observe that much of our success on the frontier to optimize cognition will benefit from increased interactions between bioengineers and cognitive neuroscientists.
Dr. John Medaglia is an Assistant Professor of Psychology and Principal Investigator of the Cognitive Neuroengineering and Wellbeing Laboratory at Drexel University. He uses techniques from neuroengineering and network science to understand and improve cognition in health and disease. Dr. Medaglia received his Ph.D. in Clinical Psychology with specializations in Neuropsychology and Social, Cognitive, and Affective Neuroscience in 2014. After a brief postdoctoral training period in Bioengineering, Neurology, and Cognitive Neuroscience at the University of Pennsylvania, he was awarded a 2015 NIH Director’s Early Independence Award to apply network control theory-guided brain stimulation to improve executive functions in health and stroke and was named a "Rising Star" by the Association for Psychological Science in 2019. Dr. Medaglia additionally studies public moral attitudes toward cognitive enhancement.