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CAARMS 23 Speakers:

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Electrical Digestive Engineering
Todd Coleman
University of California at San Diego

Todd P. Coleman received B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan. He received M.S. and Ph.D. degrees from MIT in electrical engineering, and did postdoctoral studies at MIT in neuroscience. He is currently an Associate Professor in Bioengineering at UCSD, where he directs the Neural Interaction Laboratory. Dr. Coleman’s research is multi-disciplinary at its core. His main goal is to use tools from applied probability, physiology, and bioelectronics to understand and control-interacting systems with biological and computer parts. His research in developing multi-functional, flexible bio-electronics are enabling wireless health applications that are minimally obtrusive to the user. His brain-machine interface research uses information theory, control theory and neuroscience to interpret- and design-systems from the viewpoint of multiple agents cooperating to achieve a common goal. Dr. Coleman’s research has been featured on CNN, BBC, and the New York Times. Dr. Coleman has been selected as a National Academy of Engineering Gilbreth Lecturer and a TEDMED speaker.


Decision Models for Mode of Delivery
Karen T. Hicklin
University of North Carolina

Karen Hicklin is from Washington, DC and received her BS in Mathematics from Spelman College (2008) and a MS in Mathematics and Statistics from Georgetown University (2011). She received her PhD in Industrial Engineering from the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University in 2016. Karen is currently a postdoctoral fellow in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill as a part of the Carolina Postdoctoral Program for Faculty Diversity. Her research interests are mathematical modeling of stochastic systems with an emphasis on statistical and decision analysis as applied to healthcare and service environments. In particular, her research area focuses on decision making under uncertainty with a concentration in decision making in healthcare and humanitarian logistics.


Television, Search and Digital Advertising
Shawndra Hill
Microsoft Research

Shawndra Hill is a Senior Researcher at Microsoft Research NYC. Before joining Microsoft, she was an Assistant Professor in the Operations and Information Management at the Wharton School of the University of Pennsylvania, where she is still an Annenberg Public Policy Center Distinguished Research Fellow, a Wharton Customer Analytics Initiative Senior Fellow, and a core member of the Penn Social Media and Health Innovation Lab. Generally, she researches the value to companies of mining data on consumers, including how consumers interact with each other on social media -- for targeted marketing, advertising, health and fraud detection purposes. Her current research focuses on the interactions between TV content and Social Media (www.thesocialtvlab.com). Dr. Hill holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from NYU's Stern School of Business.


Hidden Figures: Bringing Math, Physics, History and Race to Hollywood
Rudy Horne
Morehouse College

Rudy L. Horne was born and raised in Chicago, IL. He received his BS in both mathematics and physics in 1991 from the University of Oklahoma and his PhD in Applied Mathematics in 2001 from the University of Colorado at Boulder. His PhD thesis is titled: “Collision-Induced Timing Jitter and Four Wave Mixing in Wavelength Division Multiplexing Soliton Systems”. Currently, he is an Associate Professor of Mathematics at Morehouse College, where he has been since 2010. His research interests fall into areas of stability analysis for solutions to certain nonlinear PDE models arising in optical phenomena (waveguide arrays and BEC lattice systems), analysis of Parity-Time (PT) symmetric quantum mechanical systems, and light wave interactions in optical fibers.


Gene Expression Data Analysis Using the Gene Ontology
Jacqueline M. Hughes-Oliver
North Carolina State University

Jacqueline M. Hughes-Oliver is Professor of Statistics at North Carolina State University. She earned her PhD in Statistics from NC State in 1991, following a BA in Mathematics from the University of Cincinnati in 1986. After one year at the University of Wisconsin—Madison, Dr. Hughes-Oliver returned to NC State where she transitioned through the usual academic ranks. From 2005 to 2009, Dr. Hughes-Oliver was Director of the Exploratory Center for Cheminformatics Research at NC State. Her methodological research focuses on prediction and classification, analysis of high-dimensional data, variable and model selection with dimension reduction, design and analysis of pooling or mixture experiments, optimal design, and spatial modeling.


Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
Edward McFowland III
University of Minnesota

Dr. Edward McFowland III is an Assistant Professor of Information and Decision Sciences in the Carlson School of Management, at the University of Minnesota; he received his Ph.D. in Information Systems and Management from Carnegie Mellon University. Dr McFowland’s research interests — which lie at the intersection of Information Systems, Machine Learning, and Public Policy — include the development of computationally efficient algorithms for large-scale statistical machine learning and “big data” analytics. More specifically, his research seeks to demonstrate that many real-world problems faced by organizations, and society more broadly, can be reduced to the tasks of anomalous pattern detection and discovery. As a data and computational social scientist, Dr. McFowland’s broad research goal is bridging the gap between machine learning and the social sciences (e.g., economics, public policy, and management) both through the application of machine learning methods to social science problems and through the integration of machine learning and econometric methodologies. Dr. McFowland is the recipient of both an AT&T Labs fellowship and a National Science Foundation graduate research fellowship, and has had his work published in leading Machine Learning and Statistics journals.


3D Audio Perception and Applications
Kyla McMullen
University of Florida 

Dr. Kyla McMullen earned her Bachelor of Science in Computer Science from the University of Maryland, Baltimore County (UMBC), where she was also a Meyerhoff Scholar. She earned her Masters and Ph.D. degrees in Computer Science and Engineering from the University of Michigan (2007-2012). While earning her Ph.D. she was also a faculty member at Wayne State University in Detroit, Michigan. At Wayne State University she taught computer literacy courses to over 2,000 students. Professor McMullen is the first underrepresented woman to earn a Ph.D. in Computer Science and Engineering from the University of Michigan. She is currently a tenure-track faculty member at the University of Florida’s Computer & Information Sciences & Engineering Department. Dr. McMullen has a personal commitment to encouraging women and minorities to pursue careers in computing and other STEM fields. She is the creator of Beautiful, Black, and Brainy and Brilliant is the New Black, which showcase hundreds of exceptional young African Americans who excel in STEM fields and don't fit the typical scientist stereotype.


Optimization and Analytics Applications in the Oil and Gas Industry
Cassandra M. McZeal
ExxonMobil Upstream Research

Cassandra is the Computational Sciences Function Manager for ExxonMobil Upstream Research Company. She joined ExxonMobil in 2000 and co-developed optimization software for oil and gas investment portfolio planning and management. From 2010 to 2012 she led the Visualization & Workflow Integration team responsible for the in-house visualization engine and geoscience/engineering integration software platform. From 2011 to 2013, she worked as a skill area advisor for Computational and Applied Mathematics. In 2013, she was named Computational Methods Architect and, from 2013 to 2016, the Computational Methods Supervisor.
Cassandra holds a Bachelor’s degree in mathematics from Southwestern University and a Master’s and PhD from Rice University. She lives in Houston with her two daughters, Madelyn and Lena.


Smart City Mobility Network Research to Increase African-American Employment
Todd E. Shurn
Howard University

Dr. Shurn received BSE and MSE degrees in Industrial and Operations Engineering from the University of Michigan (Ann Arbor) and a PhD in Computer Science Engineering (Operations Research) from Southern Methodist University in Dallas, Texas. He has been an active Howard University computer science department faculty member since 1993.
He has also been engaged in Washington DC area and national initiatives to increase collegiate minority and/or female engineering graduates. He has provided consulting services to Disney, Time-Warner, Microsoft, Washington Post, and Electronics Arts. He is a 2005 NSBE (National Society of Black Engineers) Golden Torch Award recipient of Best Industry Partnership for the Howard University Microsoft Windows Media Player Skins Challenge.
 

Can You Hear the Length Spectrum of a Manifold?
Craig Sutton
Dartmouth College

Craig Sutton was born and raised in Norwalk, CT. He received his BA in mathematics from Yale University and completed his Ph.D. at the University of Michigan under the supervision of Ralf Spatzier. He is currently an Associate Professor of Mathematics at Dartmouth College, where he also serves as the Director of the E.E. Just Program and is the inaugural House Professor for School House, which is a bit like being the Head of Gryffindor. His research interests are in geometric analysis and Riemannian geometry.