Advancing Research through Computing 2019







Pitt Center for Research Computing is excited to host the Advancing Research through Computing 2019 symposium on March 8 in the University Club on the campus of the University of Pittsburgh. For 2019 Advancing Research through Computing (ARC) will explore dual themes –  Social Science and Business and Molecular Biology and Visualization. ARC 2019 will feature two national keynote speakers and invited Pitt and CMU researchers in political science, economics, computational biology and other fields. 

ARC 2019 will present a student poster competition offering $500 travel awards for the winners. Registration for the day-long conference is free to academic participants. Breakfast and lunch will be served. Read the ARC 2019 schedule here.

Registration closed. We look forward to seeing you Friday.


Gary King, PhD,  Keynote Speaker in Social Science and Business
“How to Measure Legislative District Compactness If You Only Know it When You See it”


Gary King, PhD, is the Albert J. Weatherhead III University Professor and Director of the Institute for Quantitative Social Science at Harvard University. Dr. King develops and applies empirical methods in many areas of social science research, employing statistical theory to create practical application, including widely-applied tools for legislative redistricting that detect partisan and racial gerrymandering. His book Unifying Political Methodology helped launch the sub-field of quantitative political methodology. King pioneers research designs for large randomized experiments in politically difficult circumstances -- evaluating the Mexican universal health insurance program, Chinese government censorship, and Social Security Trust Fund forecasts. Empirical methods and software he developed are widely used in academia, government, and private industry for automated text analysis, rare events, missing data, measurement error, causal inference, interpreting statistical results, and for forecasting elections, mortality rates, and international conflict.


Read the abstract for “How to Measure Legislative District Compactness If You Only Know it When You See it” at ARC 2019 Keynote Abstracts.




Heather Carlson, PhD, Keynote Speaker in Molecular Biology and Visualization 
“MixMD: Mapping Protein Surfaces to Discover Druggable Allosteric Sites”

Heather Carlson, PhD, of the University of Michigan is professor of Chemistry and Medicinal Chemistry and affiliated with Michigan’s Department of Computational Medicine and Bioinformatics, where she where she works in computer simulations, cheminformatics, bioinformatics, and structure-based drug design, focusing on understanding protein-ligand complexes through molecular mechanics simulations, quantum mechanics calculations, and database mining  Dr. Carlson is also well known for her studies of the biophysics of molecular recognition, and is a leader in the incorporation of protein flexibility and allosteric control in drug design. Dr. Carlson is also the director of two large, online resources used by numerous research groups around the world studying protein-ligand interactions: Binding MOAD (Mother of all Databases), and the Community Structure-Activity Resource.

Read the abstract for “MixMD: Mapping Protein Surfaces to Discover Druggable Allosteric Sites” at ARC 2019 Keynote Abstracts.








Invited Speakers from the Pittsburgh Research Community


Social Science and Business

Michael Colaresi, William S. Dietrich II Professor of Political Science at the University of Pittsburgh
“Computing How Extraordinary Rendition Flight Paths Illuminate National Security Oversight in Democracies”

Stefania Albanesi, Professor of Economics at the University of Pittsburgh
“Predicting Consumer Default: A Deep Learning Approach”

Dokyun Lee, Assistant Professor of Business Analytics in the Tepper School of Business at Carnegie Mellon University
“Focused Concept Miner (FCM): An Interpretable Deep Learning for Text Exploration”

Christopher Wilmer, Assistant Professor in Chemical and Petroleum Engineering in the University of Pittsburgh Swanson School of Engineering
“Bitcoin and Blockchain for the Befuddled: How Blockchain Technology May Change Record Keeping"

Read the abstracts for the Social Science and Business Speakers here.


Molecular Biology and Visualization

David Koes, Assistant Professor of Computational and Systems Biology at the University of Pittsburgh School of Medicine
“Deep Learning for Drug Discovery”

Jacob Durrant, Assistant Professor of Computer-aided Drug Design in the Department of Biological Sciences at the University of Pittsburgh
“Understanding the Dynamics of a Cancer-relevant RNA-binding Protein through a Computational Lens”

Geoffrey Hutchison, Associate Professor of Chemistry at the University of Pittsburgh
"Finding Needles in Haystacks - Computational Chemistry and Visualization for New Materials"

Maria Kurnikova, Associate Professor of Chemistry at Carnegie Mellon University
“Using High-performance Computing to Decipher Excitatory Synaptic Transmission at Atomic Resolution”

Read the abstracts for the Molecular Biology and Visualization speakers here.


The Cathedral of Learning image used on Web, print and other digital material for ARC 2019 is licensed under the Wiki  Creative Commons Attribution-Share Alike 4.0 International license.