COS Big Data Workshop



IMG_5281A three-day Big Data Symposium was held January 11-13, 2016 in Blocker in an effort to capitalize on the College’s considerable expertise in various facets pertaining to a burgeoning multidisciplinary area. The event, organized by Head of Statistics Valen E. Johnson, featured short presentations from faculty across the College describing their current research and opportunities for collaboration with statisticians, mathematicians and other scientists within the College and broader university.

The workshop was a great success with a potential to reach well beyond the scheduled presentations. In total, 16 speakers from the Departments of Biology, ChemistryPhysics and Astronomy along with The Cyclotron Institute got a coveted opportunity to present an overview of the different types of data they currently collect and wish to analyze.

We are hoping these presentations will spark potential collaborations within the College of Science and beyond! Speakers are listed below. More presentations will be uploaded once they become available.


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Monday, January 11, 2016, Blocker Building, Room 457

Alan McIntosh, Cyclotron Institute
“Opportunities for Statistical Methods in Nuclear Reactions: Streamlining Calibrations and Improving Sensitivity”

H.-C. Joe Zhou, TAMU Chemistry Department
“Probably High Through-Put Synthesis with a Synthetic Robotic Platform”

Dan Melconian, Cyclotron Institute
“Developing Algorithms for Fast Decision-Making with FPGAs”

Matthew Sachs, TAMU Biology Department
“Resolving the Dynamics of Gene Action at Atomic Through Organismal Scales”

Grigory Rogachev, Cyclotron Institute
“Statistical Problems in Track Detectors”


Tuesday, January 12, 2016, Blocker Building, Room 457

Lawrence Griffing, TAMU Biology Department
“Visualization and Proposed Analysis of Pausing, Clustering, and Close Association of Organelles and the Cytoskeleton in Large (Multi-Terabyte) 4D Volumes of Living Cells Generated Using Lattice Light Sheet Microscopy”

James Batteas, TAMU Chemistry Department
“Big Data in Materials Imaging: Challenges and Opportunities”

Jon Sczepanski, TAMU Chemistry Department
“Determining “Base-Pairing” Rules for Oligonucleotides of Opposite Chirality”

Thomas McKnight, TAMU Biology Department
“Comparative Transcriptomics as a Gene Discovery Tool”

Louis Strigari, TAMU Physics & Astronomy Department
“Understanding Galaxy Formation Using Large Scale Cosmological Simulations”

Jerome Menet, TAMU Biology Department
“Genome-Wide Regulation of Rhythmic Gene Expression by the Circadian Clock”


Wednesday, January 13, 2016, Blocker Building, Room 457

Sarbajit Banerjee, TAMU Chemistry Department
“Big Data and Materials Design: Towards a Blueprint for Improving Batteries and Catalysts”

David Toback, TAMU Physics & Astronomy Department
“Big Computing in High Energy Physics”

Jae Hoon Jung, TAMU Biology Department
“Developing High-Throughput Methods for Structural Analysis of Macromolecular Assemblies in Cells, as Imaged by Electron Tomography”

Deborah Bell-Pedersen, TAMU Biology Department
“Systems Biology of the Circadian Clock”

Jennifer Marshall, TAMU Physics & Astronomy Department
“Discovery of Milky Way Dwarf Galaxies in the Dark Energy Survey”