Meet our Team
Daniel Rosen
Ph.D. - Principal
Daniel Rosen has more than 20 years experience developing informatics software and hardware tools and is an expert in data mining and neural networks. Dr. Rosen received his B.A. and Ph.D. from Stanford University and completed his post-doctoral work at the Keck Center for Integrative Neuroscience at UCSF. He has taught courses in psychology, statistics, and neuroscience at Stanford University and Tufts University. He is the recipient of numerous awards and has authored papers in the fields of physiology, neuroscience, and artificial intelligence.
Daniel Wiesenfeld
MS, MBA – Principal
Daniel Wiesenfeld has built and led data science teams in a wide variety of industries and has hands on experience developing AI and traditional ML models, automating processes and visualizing data. He earned a Master of Science in Data Science at UT Austin and an MBA at Carnegie Mellon University.
Louis Schectman
Ph.D. – Modeling and Network Scientist
Louis Schectman is both a data and a network scientist. He completed his PhD in Statistical Physics at Bar-Ilan University and is currently Assistant Professor in the Department of Physics at Bar-Ilan focusing on network science and the Science of Success. He has worked on projects in many areas including power grids and infrastructure networks, philanthropic funding, social networks, liver diseases, blockchain, and more.
Bridget Bly
Ph.D. - Director of Analytics
Bridget Bly has worked in market research for over 20 years and has extensive experience designing, managing, and presenting a wide range of empirical studies. Dr. Bly received a BA from Harvard University and a Ph.D. from Stanford University with an emphasis on experimental design and statistical analysis. She has developed a number of proprietary statistical metrics for clients and has led DataMind’s analytic efforts since the company’s inception.
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