Peter Adriaens

By |

Peter Adriaens, PhD, is Professor of Civil and Environmental Engineering, College of Engineering, Professor of Environment and Sustainability, School for Environment and Sustainability and Professor of Entrepreneurship, Stephen M Ross School of Business, at the University of Michigan, Ann Arbor.

Prof. Adriaens’ research focuses on the use of data science to uncover trends and features in a range of financial (‘fintech’) applications relevant to economic development and investments aimed at catalyzing sustainable growth, including:
1. Network mapping to query relations in financial networks using visualization techniques
2. Trend and features prediction of value capture and investment grade in startup business models, using machine learning, natural language processing, and decision tools
3. Asset risk pricing of stocks exposed to water risk in their supply chains, using statistical methods, and portfolio theory predictions
4. Financial risk modeling of multi-asset investment funds to drive low carbon economies, leveraging network mapping, and machine learning.

 

Structure of financial data-driven industry ecosystems following relational network mapping and network theory application.

Structure of financial data-driven industry ecosystems following relational network mapping and network theory application.

Romesh P. Nalliah

By |

Dr. Nalliah’s expertise in research focuses on process evaluation. He has studied healthcare delivery processes, educational processes and healthcare outcomes. Dr. Nalliah’s research studies were the first time nationwide data was used to highlight hospital resource utilization for managing dental caries, pulpal lesions, periapical lesions and general oral conditions in the United States. Dr. Nalliah is internationally recognized as a pioneer in the field of nationwide hospital dataset research for dental conditions and has numerous publications in peer reviewed journals.

Dr. Nalliah’s interest for future research is to expand experience in various areas of public health but not forget his connection to dentistry. Dr. Nalliah has conducted research related to gun violence, facial fractures, spinal fusion, oral cancer, dental conditions, educational debt, mental health, suicide, sports injuries, poisoning and the characteristics of patients discharged against medical advice. National recognition of his expertise in these broader topics of medicine have given rise to opportunities to lecture to medical residents, nurse practitioners, students in medical, pharmacy and nursing programs about oral health. This is his passion- that his research should inform an evolution of dental and health education curriculum and practice.

Dr. Nalliah’s passion in research is improving healthcare delivery systems and he’s interested in improving processes, minimizing inefficiencies, reducing healthcare bottlenecks, increasing quality, and increase task sharing which will lead to a patient-centered, coherent healthcare system. Dr. Nalliah’s research has identified systems constraints and his goal is to influence policy and planning to break those constraints and improve healthcare delivery.

Peter Lenk

By |

Peter Lenk, PhD, is Professor of Technology and Operations, Stephen M Ross School of Business, at the University of Michigan, Ann Arbor.

Prof. Lenk develops Bayesian models that disaggregate data to address individuals.  He also studies Bayesian nonparametric methods and currently consider shape constraints.  Prof. Lenk teaches and uses data mining methods such as recursive partition and neural networks.

Muzammil M. Hussain

By |

Muzammil M. Hussain is an Assistant Professor of Communication Studies, and Faculty Associate in the Institute for Social Research at the University of Michigan.

Dr. Hussain’s interdisciplinary research is at the intersections of global communication, comparative politics, and complexity studies. At Michigan, Professor Hussain teaches courses on research methods, digital politics, and global innovation. His published books include “Democracy’s Fourth Wave? Digital Media and the Arab Spring” (Oxford University Press, 2013), a cross-national comparative study of how digital media and information technologies have supported the opening-up of closed societies in the MENA, and “State Power 2.0: Authoritarian Entrenchment and Political Engagement Worldwide” (Ashgate Publishing, 2013), an international collection detailing how governments, both democracies and dictatorships, are working to close-down digital systems and environments around the world. He has authored numerous research articles, book chapters, and industry reports examining global ICT politics, innovation, and policy, including pieces in The Journal of Democracy, The Journal of International Affairs, The Brookings Institution’s Issues in Technology and Innovation, The InterMedia Institute’s Development Research Series, International Studies Review, International Journal of Middle East Affairs, The Communication Review, Policy and Internet, and Journalism: Theory, Practice, and Criticism.

Twitter: @m_m_hussain.

Puneet Manchanda

By |

My interest is in using econometrics, especially Bayesian econometrics, and machine learning methods to infer causality. I tend to work with mostly parametric models of firm and consumer behavior to assess the effectiveness of firm actions. My work spans a variety of industries such as pharmaceuticals, e-commerce, gaming and hi-technology.

Jun Li

By |

Jun Li, PhD, is Assistant Professor in the department of Technology and Operations in the Ross School of Business at the University of Michigan, Ann Arbor.

Jun Li’s main research interests are empirical operations management and business analytics, with special emphases on revenue management, pricing, consumer behavior, economic and social networks. She has worked extensively with large-scale data, including transactions, pricing, inventory and capacity, consumer online search and click stream data, supply chain relationships and disruptions, clinical and healthcare claims. She is the Winner  of INFORMS Revenue Management and Pricing Practice Award for her close collaboration with retailing practitioners in implementing best response pricing algorithms. Her paper on airline pricing and consumer behavior is the finalist for Best Management Science Papers in Operations Management 2012 to 2014. She is also the principal investigator of a National Science Foundation funded project: “Gaining Visibility Into Supply Network Risks Using Large-Scale Textual Analysis”. Her work has enjoyed coverage by The Economist, New York Times and Forbes.

Supply Chain Risk Events

Supply Chain Risk Events

 

Peter X. K. Song

By |

Peter Song, PhD, is Professor of Biostatistics, School of Public Health, at the University of Michigan, Ann Arbor.

Dr. Song is interested in methodological developments related to modelling, statistical inference and applications in biomedical sciences.  One of his current research areas concerns the development of statistical methodology and algorithm for fusion learning and homogeneity pursuit in data integration to address various analytic challenges from data heterogeneity.  Another focus of his current research is on the regression analysis of networked data, with applications to electroencephalogram data analysis for the understanding of human growth and development.

Jon Lee

By |

Jon Lee, PhD, is the G. Lawton and Louise G. Johnson Professor of Engineering, Industrial & Operations Engineering, in the College of Engineering at the University of Michigan, Ann Arbor.

Jon’s research focus is on nonlinear discrete optimization (NDO). Many practical engineering problems have physical aspects which are naturally modeled through smooth nonlinear functions, as well as design aspects which are often modeled with discrete variables. Research in NDO seeks to marry diverse techniques from classical areas of optimization, for example methods for smooth nonlinear optimization and methods for integer linear programming, with the idea of successfully attacking natural NDO models for practical engineering problems.