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CAARMS 24 Speakers:

Democratizing National-Scale Genomic Data Analysis through Innovation

Dennis Dean
Seven Bridges Genomics

Dr. Dennis A. Dean, II is a Director at Seven Bridges where he leads the scientific team in the Cambridge Office. He is responsible for the success of his team members across commercial, government, and internal projects. He leads collaborative outreach with the US Food and Drug Administration (FDA), the US Department of Veteran Affairs Million Veteran Program (MVP), and oversees several projects with large pharmaceutical companies.

Dr. Dean trained as a research fellow in medicine at Harvard Medical School and Brigham and Women’s Hospital in the Program for Sleep Epidemiology and the Program for Sleep and Cardiovascular Medicine. He earned his PhD in biomedical engineering and biotechnology and M.S. in computer science from the University of Massachusetts. He earned his B.S. in computer science from SUNY, Empire State College. Dr. Dean was born in New York City and raised in the South Bronx.

Transverse Transport in Topological Magnetic Materials

Jacob Gayles
Max Planck Institute for Chemical Physics of Solids

Jacob Gayles was born and raised in the San Francisco Bay Area. He received his BS (2011) in physics from the California State University Northridge and PhD (2016) in physics from Texas A&M. He has carried out his PhD thesis research at the University of Johannes Guttenberg in Mainz. His PhD thesis in spintronics was titled: “Dzyaloshinkii-Moryia Interaction and Hall Effects in Bulk Chiral Magnets from First Principle Calculations.” Currently, he is a post-doctoral fellow at the Max Planck Institute for Chemical Physics of Solids, where he has been since 2017. His research interests delve into areas of spintronics that make use of topology in real space, momentum space and phases space and the related heat and electrical transport in these systems.

Solving Multi-Objective Optimization via Model-Based Stochastic Search

Joshua Hale
Intel Corporation

Joshua Hale was born and raised in Sylacauga, Alabama. He received his Bachelor of Industrial and Systems Engineering degree with summa cum laude honors from Auburn University in 2011. After completing his undergraduate degree he started his doctoral work at the University of Illinois. In 2013 he transferred to Georgia Institute of Technology where he received a Doctor of Philosophy in Industrial and Systems engineering in 2017. He is currently an operation research engineer in the supply chain intelligence and analytics group at Intel Corporation in Phoenix, Arizona. During his tenure at Intel he has worked on several strategic projects in inventory planning, analytics strategy, and factory operations. His research interest include simulation optimization and integer optimization, with a focus on supply chain applications. 

Assimilating Data into Physical Models

Christopher KRT Jones
University of North Carolina at Chapel Hill 

Christopher K.R.T. Jones is the Bill Guthridge Distinguished Professor of Mathematics at the University of North Carolina at Chapel Hill. The main thrust of his research is the use of dynamical systems as a tool for solving problems that originate in applications; in particular the use of dynamical systems methods in the study of nonlinear wave motion in neuroscience and optics, ocean dynamics and, more recently, climate. His recent work has included contributions to the area of Data Assimilation, with a particular focus on assimilating data in ocean and sea-ice models. He is currently Director of the Mathematics and Climate Research Network. 

Parametric Analysis of Renal Failure Data using the Exponentiated Odd Weibull Distribution

Nonhle Channon Mdziniso
Central Michigan University & Bloomsburg University

Channon Mdziniso was born and raised in Swaziland, Southern Africa and received her BS in Mathematics and Computer Science from the University of Swaziland (2009) and a MA in Mathematics from Marshall University, WV (2012). She received her PhD in Mathematical Sciences with a Statistics concentration from Central Michigan University (2018). Her PhD thesis in Probability and Statistics was titled: “Generalization of the Odd Pareto and Odd Weibull Distributions”. She will begin her work as a Data Science Assistant Professor at Bloomsburg University of Pennsylvania this fall. Her research focuses on developing statistical models using probability distributions, data mining, and machine learning techniques, with applications in other areas of study. 

Functional Transcendence via Model Theory

Joel Ronnie Nagloo
Bronx Community College - CUNY 

Joel Nagloo was born and raised in Mauritius, where he completed his undergraduate studies in Mathematics in 2006. He received an MSc in Pure Mathematics from Imperial college London (2010) and received his PhD in Mathematics with commendation for research excellence from the University of Leeds (2014). His PhD thesis was titled: “Model theory, Algebra and Differential equations”. He moved to the US in 2014, as a Visiting Assistant Professor in Mathematics at the Graduate Center of the City University of New York (CUNY). In 2016, he was appointed Assistant Professor of Mathematics and Computer Science at Bronx Community College of CUNY. In 2017 he was awarded a National Science Foundation grant to support his work that aim to furthering the interaction between mathematical logic, number theory and Differential/Difference Equations.

A Promenade in  Time-Frequency Analysis

Kasso Okoudjou
Massachusetts Institute of Technology & University of Maryland

Kasso Okoudjou was born and raised in Benin, where he completed his undergraduate studies in Mathematics in 1996. He moved to the US in 1998, and earned a Ph.D. in Mathematics, and an M.S. in Electrical Engineering at Georgia Tech in 2003 working under the supervision of Chris Heil. From 2003 to 2006 he was H.C. Wang Assistant Professor of Mathematics at Cornell University. In 2006 he was appointed Assistant Professor of Mathematics at the University of Maryland College Park, where he is now Professor. He was also the Associate Chair for Undergraduate Studies from 2016 to 2018. During the academic year 2018 – 2019, he will be a Visiting Martin Luther King Professor of Mathematics at the Massachusetts Institute of Technology. He also held visiting positions at visiting the University of Osnabruck, and the Technical University of Berlin as a Senior Humboldt Researcher, and was a Research Member at the MSRI in 2017. His research interests include applied and pure harmonic analysis especially time-frequency and time-scale analysis, frame theory, and analysis and differential equations on fractals.

Lyapunov Arguments in Optimization

Ashia Wilson
University of California, Berkeley 

Ashia Wilson is a postdoctoral researcher at Microsoft New England. She received her doctorate in Statistics at the University of California Berkeley advised by Benjamin Recht and Michael Jordan, with undergraduate degrees from Harvard. Her work focuses on designing and analyzing optimization algorithms for machine learning tasks, as well as studying and the connections between machine learning and dynamical systems.


Special Classes of Matrices and their Combinatorial Structures

Ulrica Wilson
Morehouse College

Ulrica Wilson was born in Massachusetts while her father was in graduate school. She grew up in Birmingham, AL and went to Spelman College. She received her PhD from Emory University, doing her thesis in algebra, specifically non-commutative rings After doing two postdocs, joined the faculty at Morehouse College. She is currently an associate professor there and is also the Associate Director of Diversity and Outreach for the The Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University.