Speakers and Presenters

Keynote Speakers

Professor and Chair, Department of Biomedical Informatics at The Ohio State University College of Medicine

Gordon S. Marshall Professor of Engineering Technology at the University of Southern California.

Professor and Director at Stony Brook University, Department of Applied Mathematics and Statistics and the Institute for Advanced Computational Science

Vilas Distinguished Achievement Professor in the Department of Mathematics at the University of Wisconsin.


Senior Scientist, Metrum Research Group
Kyle Baron joined MetrumRG in 2010 as a Research Scientist, working with the systems biology group to develop Bayesian hepatitis C viral dymanic models to help quantify antiviral drug effects and predict long-term viral response rates.

Paul Bauman, Mechanical and Aerospace Engineering, University at Buffalo
Paul Bauman joined the University of Buffalo as an Assistant Professor in the Mechanical and Aerospace Engineering department in 2014. He is also a core faculty member of the Computational and Data-Enabled Science and Engineering program. He earned his in BS, MS and PhD at the University of Texas at Austin in 2002, 2003, and 2008, respectively. Dr. Bauman has previously studied hypervelocity impact as well as developed numerical methods for multiscale models of polymers used in semiconductor manufacturing. More recently, his research focus has been on developing modern numerical methods for studying chemically reacting flows and bringing them together with algorithms for quantifying uncertainty in engineering problems related to hypersonic flows and combustion. In addition to more than 15 years of software development experience in scientific computing environments, Dr. Bauman is a core developer of the libMesh finite element library and a lead developer of both the GRINS multiphysics framework, built on libMesh, and the Antioch thermochemistry library.

Data Scientist, Federal Reserve Bank of Kansas City
Thealexa Becker is a Data Scientist in the Center for the Advancement of Data and Research in Economics (CADRE). She joined the Bank in 2013 and has worked in the Macroeconomic Research Department as an Assistant Economist conducting research on labor markets and health care. She earned a B.A. in Mathematics and Economics from Smith College. Her current research focuses on data fluency and using data science and data curation techniques to improve the user experience with large microdata sets.

Professor, SUNY Buffalo State, Department of Mathematics
Joaquin Carbonara has a PhD in Combinatorial Math from UCSD and a MS in Computer Science from University at Buffalo. He is fluent in English, Spanish and Italian and has lived and studied in Venezuela, Italy and the US for extended periods of time. Joaquin's research interests include fractal analysis and data analytics. He teaches computational mathematics and a wide range of undergraduate courses. Joaquin supports the efforts of the Professional Science Masters movements and actively tries to bring the real world and academia together with the goal of invigorating and enriching the academic culture.

Clinical Assistant Professor, University at Buffalo, School of Management
Joana Gaia is a Clinical Assistant Profesor in the Management Science and Systems Department at the University at Buffalo. Dhe received a BS from Universidade Lusiada, Lisbon, and a MS and PhD from University at Buffalo's School of Management. Her research interests are in decision support systems, health information systems, data science research and emergency management.  

Assistant Professor, University at Buffalo, Department of Geology/Computational and Data-Enabled Science and Engineering
Margarete Jadamec has a BS in Geology and Geophysics from University of Connecticut, a MS in Geology from University of Alaska, Fairbanks, and a PhD in Geophysics from University of California, Davis.  Margarete was a Postdoctoral Research Fellow in the School of Mathematical Sciences at Monash University, where she co-founded 3DALIVE, a collaborative 3D data visualization facility, and was awarded an NSF Postdoctoral Fellowship at Brown University. Her research combines big data, high performance computing, and 3D immersive visualization for scientific discovery in Earth science. She runs numerical simulations of non-linear viscous flow of the Earth on hundreds to thousands of compute cores, and was awarded Best Conference and Best Science paper at XSEDE12, invited to a Think Tank at the Australian Academy of Sciences, and had her work recently highlighted in a joint NIH-NSF-DOE report on Exascale computing.  Margarete joined UB in Fall 2017, as a faculty member joint between the Department of Geology and the Computational and Data-Enabled Science and Engineering Program. Prior to joining UB, she was Assistant Professor of Geodynamics at the University of Houston.


Associate Professor, University at Buffalo
Matthew Knepley received his BS in Physics from Case Western Reserve University, an MS in Computer Science from the University of Minnesota and a PhD in Computer Science from Purdue University. Prior to joining the University at Buffalo, Matt was an Assistant Professor at Computational and Applied Mathematics Department at Rice University. His research focuses on scientific computation, including fast methods, parallel computing, software development, numerical analysis, and multicore architectures. He is an author of the widely used PETSc library for scientific computing from ANL, and is a principal designer of the PetFMM and PetRBF libraries, for the parallel fast multipole method and parallel radial basis function interpolation. Matt was a J.T. Oden Faculty Research Fellow at the Insitute for Computation Engineering and Sciences at UT Austin and was the recipient of both the R&D 100 Award in 2009, and the SIAM/ACM Prize in Computational Science and Engineering in 2015 as part of the PETSc team.

Associate Researcher, University of California, Davis
Oliver Kreylos is a researcher with, and lead computer scientist for, the UC Davis W.M. Keck Center for Active Visualization in the Earth Sciences. He received a BS and MSc in Computer Science from the University of Karlsruhe, Germany, and a PhD in Computer Science from the University of California, Davis. Dr. Kreylos primary research interests are scientific visualization, virtual reality, human-computer interaction, and tele-presence and tele-collaboration.

Adjunct Professor, Indiana University - Purdue University Indianapolis
Lang Li is currently the chair of the Department of Biomedical Informatics at The Ohio State University College of Medicine. Dr. Li was previously the T.K. Li Endowed Chair in Medical Research at Indiana University School of Medicine, where he served as director of Computational Biology and Bioinformatics and associate director of the Indiana Institute of Personalized Medicine.

Dr. Li has developed an international reputation for the use of biomedical informatics and systems pharmacology to evaluate drug efficacies and adverse drug events. Taking advantage of various large-scale biomedical data sources, he and his team successfully discovered and validated epidemiological and pharmacological data for drug interactions, including loratadine/simvastatin-induced myopathy. His translational research has been extensively funded by awards from the National Institutes of Health and the National Science Foundation, and he is author of more than 175 manuscripts. He currently serves as investigator, co-investigator or mentor on 12 research awards totaling greater than $2 million a year in funding.

Computational Scientist, University at Buffalo, Center for Computational Research
Shawn Matott is a computational scientist at the University at Buffalo Center for Computational Research (UB CCR). He received a Bachelor of Science degree in computer engineering from Clarkson University in 1997 and a PhD in environmental engineering from the University at Buffalo in 2007.

Director, Institute for Computation and Data Enabled Sciences, University at Buffalo
Abani Patra obtained a PhD in Computational and Applied Mathematics from the University of Texas-Austin in 1995. After a short post-doctoral stint he joined the University at Buffalo, Mechanical and Aerospace department in 1996 and was promoted to full professor in 2004. He spent three years at the National Science Foundation as a program director in the Office of Cyberinfrastructure from 2007-10. He has been actively engaged in computational science research and was among the founding members of the Centers for Computational Research and the Center for Geohazards at Buffalo as well as the Institute for Computational and Data Enabled Sciences. He has published numerous articles on topics ranging from adaptive meshing and error analysis of finite elements, HPC and more recently large data driven methodologies. The TITAN2D toolkit, developed by Patra and co-workers is used by over 200 groups worldwide for mass flow hazard analysis.

Assistant Professor, University at Buffalo, Department of Industrial and Systems Engineering
Alexander Nikolaev is an Assistant Professor at UB Industrial and Systems Engineering. His interests and expertise are in social network analysis, resource allocation under uncertainty, causal inference, healthcare and educational data mining. In his research, Dr. Nikolaev employs the techniques from both applied operations research and computer science. He has authored around 50 peer-reviewed manuscripts, and won three National Science Foundation awards, among others. Dr. Nikolaev serves as an Associate Editor of the "Socio-Economic Planning Sciences" journal.

Teaching Associate Professor, University at Buffalo, Department of Computer Science and Engineering
Bina Ramamurthy is a Research Associate Professor in Computer Science and Engineering at the University at Buffalo. She has been involved in STEM research, curriculum development and instruction for the past two decades. Her current interest is in Blockchain application development. She also teaches courses in data-intensive computing and emerging applications and platforms such as Hadoop, Spark and Tensorflow. She is the Program Director of the SUNY approved certificate program on Data-intensive Computing at University at Buffalo and the Principal Investigator on four National Science Foundation (NSF) grants and a co-investigator in six Instructional Innovative Instructional Technology grants (SUNY-IITG).

Chief Science Officer, Metrum Research Group
Matt has over 16 years of industry experience including the application of modeling and simulation for clinical pharmacology and later phase drug development decisions. Matt’s interests include the development and application of mechanistic exposure-response and systems pharmacology models to quantitatively integrate physiology, pharmacology, senescence and disease understandings; this to guide translational and clinical research toward improved preventative and interventional therapeutics.

Associate Professor, University at Buffalo, Department of Mathematics
John Ringland grew up in Belfast, N. Ireland, and obtained his PhD in Physics from the University of Texas at Austin. He is an Associate Professor of Mathematics at the University at Buffalo, with research interests in  in the qualitative and quantitative analysis of deterministic and stochastic dynamical systems.  He is the recipient of the MAA Seaway Section 2012 Clarence Stephens Award for distinguished university teaching  and is the director of an undergraduate research program funded by the CSUMS program of the National Science Foundation, which has provided intense year-long research opportunities for over 50 math majors.

Assistant Professor, University at Buffalo, Department of Computer Science and Engineering
Erdem Sariyuce is an assistant professor in the Department of Computer Science and Engineering at the University at Buffalo. Previously, he was the John von Neumann Post-doctoral Fellow at Sandia National Labs in Livermore, CA, working with Ali Pinar. His research is on large-scale graph mining. He develops algorithms to enable practical and insightful graph analytics for real-world data which can be large, streaming, incomplete, and noisy.

Assistant Professor, University at Buffalo, Department of Mathematics
Dane Taylor develops mathematical techniques for data science, networks and complex systems. His work integrates ideas from random matrix theory, computational geometry, computational topology, multiscale modeling and dynamical systems to better understand the mechanisms of self-organization in biological, social and intelligent systems.