Upcoming Events

Genetic Instrumental Variable (GIV) regression: Explaining socioeconomic and health outcomes in non-experimental data

  • Where: Arellano Theater, Levering Hall
  • When: March 28, 2018, 16:00
  • Thomas A. DiPrete, Columbia University
  • An IDIES Bi-Monthly Seminar

Biography: Thomas A. DiPrete is Giddings Professor of Sociology, co-director of the Institute for Social and Economic Research and Policy (ISERP), co-director of the Center for the Study of Wealth and Inequality at Columbia University, and a faculty member of the Columbia Population Research Center. DiPrete holds a B.S. degree from the Massachusetts Institute of … Continued

Past Events

Real Time in the Room: Frequency, Amplitude, and Time Analysis with the “Precision Measuring Matrix” by Paul Reed Smith

  • Where: Arellano Theater, Levering Hall
  • When: February 14, 2018, 16:00
  • Paul Reed Smith
  • An IDIES Bi-Monthly Seminar

Click here for a link to the live stream. Abstract: I will review the history of the Precision Measuring Matrix including my father’s involvement, real time demonstrations, discussion of FFT measurement anomalies, the discovered language of EEG harmonic brainwaves, watching the harmonics of an acoustic guitar in real time and newly discovered domains made possible … Continued

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

  • Where: Hackerman Hall B-17
  • When: December 05, 2017, 10:30
  • Ian Foster

Abstract A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and reduce data online so as to output only those results needed to answer target scientific question(s). This change in focus complicates application and experiment design and … Continued

IDIES Annual Symposium 2017

  • Where: Mudd Hall Auditorium
  • When: October 20, 2017, 08:00

The Institute for Data Intensive Engineering and Science will hold our 2017 Annual Symposium at Johns Hopkins University on Friday, October 20, 2017. This event will bring together experts in Big Data from all divisions of Johns Hopkins University, the government and industry to share their discoveries, practical ideas, and insights. The focus is on … Continued

Heavy Hitters on Data Streams and Recent Variants

  • Where: Hodson Hall, Rm 210
  • When: October 04, 2017, 16:00
  • S. Muthukrishnan, PhD, Rutgers University
  • An IDIES Bi-Monthly Seminar

Please join us at 4:00 pm on Wednesday, Oct 4, 2017 for “Heavy Hitters on Data Streams and Recent Variants” by Dr. S Muthukrishnan, Distinguished Professor of Computer Science and ACM Fellow at Rutgers University. The talk will take place on Wednesday, October 4th, 2017, from 4:00 pm to 5:00 pm in Hodson Hall, Room … Continued

Tutorial on Deep Learning with Apache MXNet Gluon

  • Where: Bloomberg Building, Room 462
  • When: September 21, 2017 to September 21, 2017, 13:30
  • Alex Smola, PhD, Director of Machine Learning and Deep Learning at AWS

Unfortunately, registration has reached capacity for the “Tutorial on Deep Learning with Apache MXNet Gluon” by Dr. Alex Smola, Director of Machine Learning and Deep Learning at AWS, Carnegie Mellon University, Marianas Labs, CEO. If you really want to attend, and are curious if any seats have become available, you can email one of our … Continued

Decoding epigenetic programs in cellular differentiation and T cell dysfunction in tumors

  • Where: BSPH E2030 (Feinstone)
  • When: May 15, 2017, 13:30
  • Christina Leslie
  • A Genomics@JHU Seminar

Abstract: Dysregulated epigenetic developmental programs are a feature of many cancers, and the diverse differentiation states of immune cells as well as their dysfunctional states in tumors are in part epigenetically encoded. We developed an integrative computational strategy to exploit genome-wide data on chromatin accessibility (DNase-seq or ATAC-seq), histone modifications (ChIP-seq), and transcription (RNA-seq) in … Continued

Data-driven re-annotation of patient tumors and derived model systems

  • Where: BSPH E3609 (Genome Café)
  • When: May 01, 2017, 13:30
  • Benjamin Haibe-Kains
  • A Genomics@JHU Seminar

Abstract: The success of precision medicine largely relies on comprehensive characterization of patient tumors and their derived model systems to select the best therapy for each individual patient. Recent initiatives generated massive amounts of molecular data for healthy (GTEx) and tumor (TCGA) tissues from patients, as well as patient-derived cancer cell lines (Cancer Cell Line … Continued

The Nexus of Data Science, Convergence, and Graduate Education

  • Where: Arellano Theater, Levering Hall
  • When: April 13, 2017, 16:30
  • Dr. Dean Evasius
  • An IDIES Bi-Monthly Seminar

Abstract: Data science has emerged as a distinct discipline that has also become a power enabler of science and engineering. In its deep interactions with other disciplines it is an example of the scientific convergence, which is one of the Ten Big Ideas for Future NSF Investments. The rapid growth of data science raises deep … Continued