Past Events

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

What can we learn from human genomics at scale and how do we get there?

  • Where: BSPH E3609 (Genome Café)
  • When: April 03, 2017, 13:30
  • Joe Pickrell
  • A Genomics@JHU Seminar

Abstract: A primary goal of human genetics is to understand the genetic causes of phenotypic variation. Recent successes in genome-wide association studies have shown that achieving this goal requires collecting and analyzing data at scale. I will discuss projects that center around this thesis. First, I will discuss analyses of the genetics of lifespan in … Continued

Mathematical Mysteries of Deep Neural Networks

  • Where: Hodson Hall Board Room
  • When: March 27, 2017 to March 27, 2017, 13:30
  • Stéphane Mallat PhD

Distinguished CIS Seminar Reception directly following seminar. Abstract: Classification and regression require to approximate functions in high dimensional spaces. Avoiding the dimensionality curse opens many questions in statistics, probability, harmonic analysis and geometry. Convolutional deep neural networks can obtain spectacular results for image analysis, speech understanding, natural languages and many other problems. We shall review … Continued

Geometric Methods for the Approximation of High-dimensional Dynamical Systems

  • Where: Mason Hall Auditorium
  • When: February 23, 2017 to February 23, 2017, 16:00
  • Mauro Maggioni
  • An IDIES Bi-Monthly Seminar

Abstract: We discuss a geometry-based statistical learning framework for performing model reduction and modeling of stochastic high-dimensional dynamical systems. We consider two complementary settings. In the first one, we are given long trajectories of a system, e.g. from molecular dynamics, and we discuss new techniques for estimating, in a robust fashion, an effective number of … Continued

Urban Sensing Using Social Media and Cellular Network Data

  • Where: Room 462, Bloomberg Physics and Astronomy Building
  • When: December 09, 2016, 15:00
  • Dr. Dániel Kondor

Please join us on Friday December 9th for a special talk from Dr. Dániel Kondor. Dr. Kondor is a Postdoctoral Research Fellow from the Senseable City Laboratory at MIT. Abstract: Recent developments in communication technologies have brought significant changes to both our everyday lives and data collection technologies and possibilities as well. Nowadays, most of … Continued

Diffusion-based Interactions in Noisy Single Cell Data

  • Where: Charles Commons conference center
  • When: November 14, 2016, 13:30
  • Smita Krishnaswamy
  • A Genomics@JHU Seminar

Abstract Recently, there have been significant advances in single-cell genomic and proteomic technologies that can measure the expression of thousands of mRNA transcripts and dozens of proteins. However, this data suffers from sparsity and noise. Furthermore, its high dimensionality makes interpreting the data difficult for biologists. Our aim is to facilitate interpretation by providing a … Continued

2016 IEEE 12th International Conference on eScience

  • Where: Baltimore Marriott Inner Harbor at Camden Yards
  • When: October 23, 2016 to October 26, 2016, 00:00

The IEEE 12th International Conference on eScience will explore the realms where big data and distributed computing fuse into Data Intensive Science. The objective of the eScience Conference is to promote and encourage all aspects of eScience and its associated technologies, applications, and tools. In short, eScience promotes innovation in collaborative, computationally- or data-intensive research … Continued

Tumor neoepitope selection for biomarker discovery and therapeutic vaccination

  • Where: Barber Conference Room at Charles Commons, 10 E 33rd St. Baltimore, MD
  • When: October 24, 2016, 13:30
  • Jeff Hammerbacher
  • A Genomics@JHU Seminar

Abstract We’ll review some open source software our lab has developed to facilitate a Phase I clinical trial of a personalized therapeutic vaccine targeting tumor neoepitopes. We’ll also present some results from our analysis of clinical trials of checkpoint blockade in 3 different cancer types and some open source software we’ve created to facilitate similar … Continued

IDIES Annual Symposium 2016

  • Where: Bloomberg School of Public Health, Sheldon Hall Auditorium
  • When: October 21, 2016, 08:30

Big Data in Healthcare The Institute for Data Intensive Engineering and Science will hold our 2016 Annual Symposium at Johns Hopkins University on Friday, October 21, 2016. 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. … Continued