Women in Computational Topology
Glance  Name  Institution  Research interest 

Erin Wolf Chambers  Saint Louis University  Computational topology and geometry, graph theory, combinatorial algorithms, and recruitment/retention issues in computer science and mathematics  
Sofya Chepushtanova  Penn State Math  Applications of algebra and topology to neuroscience  
Jessi Cisewski  Yale University  Astrostatistics, topological data analysis, approximate Bayesian computation, generalized fiducial inference, foundations of statistics  
Carina Curto  Wilkes University  Geometric and topological data analysis, pattern recognition, optimization, numerical methods  
Lisbeth Fajstrup  Aalborg University, Denmark  Directed algebraic topology, Applying topology to problems in computer sceince, TDA  
Giseon Heo  University of Alberta, Canada  Applied computational topology, statistics, statistical learning  
Kathryn Hess  EPFL  Homotopy theory, category theory, and applications of algebraic topology in the life sciences (in particular in neuroscience and cancer biology) and in chemical engineering  
Jici Huang  Montana State University  Topological data analysis, persistent homology, comparative genomics  
Raquel Iniesta  King’s College London  Computational statistics, machine learning and Topologic Data Analysis, Highdimensional data modelling, Bioinformatics, Genetics and Pharmacogenetics of complex diseases (Cancer, Schizophrenia, Major Depression, Hypertension)  
Claudia Landi  Università di Modena e Reggio Emilia (Italy)  Topological data analysis, computational topology, pattern recognition, shape comparison 

Rachel Levanger  Department of Mathematics, Rutgers University  Persistent homology, spatiotemporal data analysis, machine learning  
Emanuela Merelli  University of Camerino, Italy  Topological Field Theory of Data, Process Theory, Bioinspired Models of Computation  
Elizabeth Munch  University at Albany – SUNY  Applied & computational topology, applied & computational category theory, Topological data analysis, Time Series Analysis, Statistics and Machine learning  
Rachel Neville  Colorado State University  Computational topology and geometry, dynamical systems, pattern formation, machine learning  
Alice Patania  Politecnico di Torino, I.S.I. Foundation  Topological Data Analysis, Mathematical Modelling, Brain Networks analysis (connectomics), Gene Networks, Information Theory  
Emilie Purvine  Pacific Northwest National Laboratory  Data analysis, computational topology, sheaf theory, Hodge theory, cyber security, topological analysis of graphs  
Vanessa Robins  The Australian National University, Canberra, Australia  Applied topology and geometry, topological crystallography, applications to image analysis, porous and granular materials, materials science  
Nikki Sanderson  University of Colorado, Boulder  Computational Topology, Dynamical Systems, Shape Spaces, Computational Mechanics  
Sara Scaramuccia  University of Genova, Italy  Computational topology, multidimensional persistent homology, discrete Morse theory  
Altansuren Tumurbaatar  Washington State University  Computational topology, Optimization, Geometric Measure Theory, Mathematical analysis,Data analysis, Machine learning, Distributed computing, Mobile programming  
Bei Wang  University of Utah  Topological data analysis, computational topology, data visualization, visualizing large graphs, brain network analysis and machine learning 

Yusu Wang  The Ohio State University  Computational geometry, computational and applied topology, geometric and topological data analysis, with applications in graphics, visualization, machine learning and computational biology  
Carola Wenk  Tulane University  Computational geometry, shape matching, geometric and topological data analysis  
Lori Ziegelmeier  Macalester College  Computational geometry and topology, topological data analysis, manifold learning, optimization, pattern analysis 