Professor, Bioengineering, University of Pennsylvania
“Technical Innovations in Data Driven Medicine:
Cross Validating Methods In Disease Detection, Diagnosis & Treatment”
Smart phones and other wearable sensors, increasingly embedded in everyday life, have spurred rapid accumulation of our daily life data. While machine learning algorithms, derived from this data, have yet to make a major impact on medical decision making, they do hold promise and are increasingly used in studies of: cardiovascular disease, falls, measuring rehabilitation outcomes in stroke and amputees, monitoring Parkinson’s disease symptoms and detecting depression. But how reliable are these algorithms and how should they be evaluated? Dr. Kording will discuss these new data sources; emerging methods to gauge their reliability; and the awesome possibilities they empower for human health.
Imagine a world where you don’t need traditional ISPs to get Internet access. It’s already here, in Princeton: home Internet at a fraction of the cost. With the FCC’s recent Title II/Net Neutrality repeal, Neil founded Andrena to deliver community powered Internet. Via purchase of data links to the greater Internet in bulk and employment of a community of blockchain-based wireless devices that automatically assemble, Andrena covers what’s known as “the Last Mile.” Following a successful pilot with Princeton University and area businesses in 2017, Andrena is deploying its devices throughout town. In addition to the technical aspects, Neil will explain how consumers transition from a traditional ISP to a blockchain-based wireless service.
Professor, Operations Research & Financial Engineering
Princeton University
“Autonomous Vehicles: Where Are We Going & How Will We Get There?
De-Fogging Your Shift from a Drive to a Trip”
Now that ubiquitous mobility for everyone is no longer a distant hypothetical, it’s time to consider the impacts of this coming transition on most of our lives. No one is better equipped to guide us through the complexities of this multi-faceted subject than Professor Alain Kornhauser, Faculty Chair of PAVE (Princeton Autonomous Vehicle Engineering). After introducing us to the terms; the technologies & role of deep learning; the major players & early adopters, his talk will explore economic/social costs & gains; the challenge of scaling; the milestones necessary for market acceptance --- and finally, the mechanics of managing it all.
Assistant Professor, Mechanical & Aerospace Engineering
Princeton University
“Crowd Control: Swarm Engineering for Medicine & Biotechnology”
Daniel is returning to Princeton University as a new professor in the MAE Department, having earned his BSE in Mechanical Engineering – and completed joint Bioengineering doctoral work at UC Berkeley and UCSF, and post-doctoral training in Biology at Stanford. After research spanning bio-inspired robotics, dinosaur mechanics, genetic engineering, surgical implant design and nanotechnology, his focus has now turned to tissue engineering and biomaterials design: applying concepts from swarm theory (bird flocking and sheep herding) to develop new biomedical tools and techniques. After introducing swarm theory and its application to cellular systems, his talk will feature case studies from bioelectricity, biomaterials and machine learning that demonstrate how applying “swarm engineering” may transform how we: interact with living cells, heal ourselves and understand diseases.
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