Patrick Hoffman (Sc.D. 1999)
Sc.D. in Computer Science, University of Massachusetts Lowell; MSEE Northeastern University; BSEE University of Connecticut
Thesis: Table Visualizations: A formal model and its applications.
Patrick is a senior principal data mining consultant at Oracle corporation. Previously he served as the founder and lead scientist at AnVil corporation. He has also served as president of System Solutions, a software and hardware services consultant company.
Patrick has over 25 years of experience in all phases of design, development, and implementation of computer applications mostly concentrating on high-end analytics. He is an expert in machine learning, data mining, and text mining and is the inventor of RadViz and other high dimensional visualization tools.
Marjan Trutschl (Sc.D. 2002)
Sc.D. in Computer Science, University of Massachusetts, Lowell 2002; M.S., University of Massachusetts Lowell 1997
Marjan has more than a decade of software development and research experience. He participated in research funded by Genetics Institute (now Wyeth), Millennium Pharmaceuticals, Pfizer, Spacetec IMC (now Logitech) and by the U.S. Air Force, just to name a few. His research activities focus on information and scientific data visualization, bioinformatics/biomedical informatics, neural networks, data mining, and knowledge discovery. He has worked on consulting projects related to visual and analytical analysis of data sets, databases, Internet, systems administration and networking.
Current Positions: Assistant Professor, Department of Mathematics and Computer Science, Louisiana State University, Shreveport, LA and Adjunct Assistant Professor of Bioinformatics and Computational Biology, Louisiana State University Health Sciences Center, Shreveport, LA
Urska Cvek (Sc.D. 2004)
Sc.D. in Computer Science, University of Massachusetts Lowell (2004) MBA, University of Massachusetts, Lowell (1997)
Research interests include visualization and data mining of large and complex data, with particular application to bioinformatics and cheminformatics data sets. Dissertation work was in the area of cluster analysis, designing visual and analytic tools to aid the cluster comparison process. Past research work includes analysis of gene expression profiles in human cancer cell lines, yeast expression and several other proprietary profiles, mathematical modeling and visualization for environmental problem solving, in addition to past research studies of regional economic development of several industries.
Current Position: Assistant Professor, Department of Mathematics and Computer Science, Louisiana State University, Shreveport
Alexander G. Gee (Sc.D. 2004)
Dr. Alexander G. Gee received his Sc.D. in computer science from the University of Massachusetts Lowell in 2004 focused on information visualization and data presentation. He received his M.S. in computer science from the University of Massachusetts Lowell in 1996, a B.S. in mathematics from Northern Arizona University in 1994, and an A.A. degree in architecture from Saint Petersburg Junior College, Clearwater in 1992. His research focuses on the generalization of information visualization techniques and systems supporting exploration of information using visualization and analysis techniques, and their application within various domains, including bioinformatics, cheminformatics, and clinical informatics.
He currently works as a post-doc at the Institute for Visualization and Perception Research (IVPR) and Center for Biomolecular and Medical Informatics (CBMI) at the University of Massachusetts Lowell under the direction of Dr. Georges G. Grinstein, where he is involved with numerous projects. He is also chief architect of the Universal Visualization Platform (UVP), a general purpose, Java based, research platform support the development and experimentation of visualization and analysis techniques.
Previously, Dr. Gee was a co-founder of AnVil, Inc. working as an informatics scientist providing data analysis and visualization expertise on various projects, including gene expression microarrays, brain activities, patient diagnoses, and insurance claims. Furthermore, he previously worked under Dr. Grinstein as a research fellow on a variety of contracts. He is an expert in information visualization and machine learning, with applied bioinformatics knowledge. He is also experienced writing documentations, designing presentations, manipulating images, and producing quality graphics.
Howie Goodell (Sc.D. 2006)
Sc.D. Computer Science, University of Massachusetts Lowell; M.S. Analytical Chemistry, Northeastern University; B.S. Chemistry, Northeastern University
Thesis: An Architecture to Support the Co-exploration of Data and History
Current Position: Post-doctoral associate
In-Situ Project, INRIA Futurs
Laboratoire de Recherche en Informatique (LRI)
Howie is currently developing visualizations and matrix reordering techniques for large (105-node, 107-edge) biological and social network datasets as well as developing integrations between the open-source InfoVis Toolkit and Cytoscape systems biology platforms.