School of Engineering
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Daniel J O'Shea
Postdoctoral Research Fellow, Electrical Engineering
BioI am currently pursuing a PhD in Neuroscience with Krishna Shenoy in the Neural Prosthetics Systems lab. I am interested the neural basis of movement and motor feedback control. Towards this end, I am engaged in collaborative research employing multielectrode array recordings, optogenetic and electrical stimulation, haptic feedback devices, and high dimensional modeling of population dynamics.
Ph.D. Student in Management Science and Engineering, admitted Spring 2012
BioMichael Ohlrogge is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Finance and Economics and Joint JD Candidate
Michael Ohlrogge produces innovative research at the intersection of law and finance, combining legal analysis with quantitative tools to tackle challenging issues that can only be addressed with a sophisticated, interdisciplinary approach. His research played a significant role in the decision by the United States Securities and Exchange Commission (SEC) to propose that public companies be allowed to comply with Dodd-Frank requirements to disclose median employee compensation by using statistical sampling techniques, reducing by orders of magnitude the compliance costs that firms face due to the new regulations.
Michael is currently studying ways that changes in state-level anti-predatory lending laws during the early and mid 2000s impacted the subprime securitization market. I am also researching ways that stochastic models of corporate bond default risk can be improved by incorporating information about changes in the bankruptcy laws corporations are subject to. Ultimately, his research seeks to build a better understanding of ways that legal changes impact financial markets, with a focus on systemic risk.
His areas of expertise include the following:
- Estimation of Median Employee Compensation and CEO Pay Ratio
- Statistical Sampling
- Statistical Analysis
- Financial Regulation
- Systemic Risk
Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research focuses on developing the principles and tools needed to realize advanced robotic and human-machine systems capable of physical interaction. Application areas include surgery, simulation and training, rehabilitation, prosthetics, neuromechanics, exploration of hazardous and remote environments (e.g. space), design, and education.