Bjorn Sandstede is a Professor of Applied Mathematics, and currently a Royce Family Professor of Teaching Excellence, at Brown University. His research focuses on dynamical systems, data science, and applications to biological systems. Sandstede received his undergraduate degree from the University of Heidelberg and his PhD from the University in Stuttgart. Before coming to Brown in 2008, he worked at the Ohio State University and the University of Surrey in England. Sandstede received an Alfred P Sloan Research Fellowship, the SIAM JD Crawford Prize, a Royal Society Wolfson Research Merit Award, and the Elsevier Jack Hale Award. He is also the recipient of the Philip Bray Award for Teaching Excellence and the Graduate School Faculty Award for Advising and Mentoring.
Alden Bumstead comes to the Data Science Initiative via a winding road through literary theory and gender studies, nonprofit consulting, and advocacy for mental health research. This has made her a jack of many trades and master of a few. She has a Ph.D. in American Literature from Duke University and a humanist’s fascination for science.
Administrative and Financial Assistant, Data Science Initiative
A Providence native, Meg comes from a background in media arts, visual design and event planning, earning her BA from Emerson College. She worked previously at the Brown/NSF Institute for Computational and Experimental Research in Mathematics (ICERM), among other higher education institutions. She continues to have a passion for learning and soon plans to finish her Master's of Interior Architecture.
Director of Industry Relations, Data Science Initiative
Adjunct Associate Professor of Computer Science
Dan Potter is Director of Industry Relations for the Brown Data Science Initiative, and also an Adjunct Associate Professor of Computer Science. He regularly teaches courses on Scientific Computing and Data Science. In addition to his responsibilities at Brown, Dr. Potter has been a Senior Advisor to Disciplined Alpha LLC since the firm’s inception in January 2013. In 2016 he became the portfolio manager for the Disciplined Alpha Stable Growth Strategy. He is the Chief Technology Officer for Advanced Image Enhancement, a medical imaging company founded in 2000. His professional life has focused on the development of statistically based approaches to solving real world problems involving pattern recognition and data modeling for the financial, healthcare and technology sectors. Prior positions include Managing Partner, in charge of Quantitative Research at Gotham Research, an institutional brokerage and RIA, Chief Technology Officer for Third Level Data, an internet marketing firm, Chief Executive Officer of Ars Analytica, a mathematical consulting firm. Dr. Potter holds a ScB in Mathematics & Computer Science as well as a ScM and PhD in Applied Mathematics from Brown University. Dr. Potter is also a former National Science Foundation IGERT Fellow.
Director of Graduate Studies, Data Science Initiative
Tamarkin Assistant Professor, Department of Mathematics
Sam’s research in mathematical probability focuses on the interplay between discrete and continuous random geometry. He studies the convergence of random planar graphs outfitted with natural combinatorial structures to a fractal random surface called Liouville quantum gravity. He has worked on fractional Gaussian fields, which serve to model random behavior in fields as diverse as cosmology, image processing, and agriculture. He has also used his expertise in modeling probabilistic phenomena to contribute to a variety of projects with scientists in other disciplines.