IDIES supports formation of the JHU Visualization Discussion Group

IDIES is pleased to support the formation of the JHU Visualization Discussion Group, hosted by Assistant Research Scientist Mubdi Rahman of the Physics and Astronomy department. This will be a group that meets weekly to discuss the visualization of data, ranging from basic principles and overarching theory, to specific examples from within astronomy and from … Continued

Alex Szalay and Steven Salzberg Credited as Most Cited Researchers

Thomson Reuters has released its annual list of leading researchers in the sciences and social sciences from around the world. The 2016 Highly Cited Researchers lists 13 Johns Hopkins University researchers whose publications are among the top one percent in their fields for citations, and for the second year in a row this includes Professors … Continued

Genomics @JHU Kicks off the Fall 2016 Seminar Series

Genomics@JHU will resume on October 17, 2016 with a seminar presented by Zia Khan of the University of Maryland, College Park. For more information, please visit the Genomics@JHU Seminar page.

Interactive Computing and Data Science with the Jupyter Platform, an IDIES Fall Seminar

Please join us at 2:00 pm on Friday, October 7th for Dr. Fernando Pérez’s seminar entitled “Interactive Computing and Data Science with the Jupyter Platform.” This event will take place in the Space Telescope Auditorium, at the Space Telescope Science Institute (STScI), 3700 San Martin Drive, Baltimore, MD. For full event information, please follow this … Continued

Open Registration for the 2016 IDIES Annual Symposium

If you plan on attending the event, please let us know by filling out our form so we can have a better idea of attendance as well as take care of any dietary needs/special requests. The symposium takes place on October 21st from 8:30 am to 5:30 pm in the Bloomberg School of Public Health. … Continued

IDIES Director Alex Szalay Receives Microsoft Outstanding Collaborator Award

IDIES Director and Bloomberg Professor Alexander Szalay has been recognized with the Outstanding Collaborator Award given by Microsoft. This award has been given to academic collaborators over the past 25 years who have made a significant contribution to computational research in a variety of scientific fields. “In the 25 years since its founding in 1991, … Continued

Call for Presentations: IDIES Symposium 2016

The IDIES Annual Symposium “Big Data in Healthcare” Friday, October 21st, 2016, from 8:30 a.m. to 5:30 p.m Bloomberg School of Public Health, Sheldon Hall Auditorium on the East Baltimore Campus Important Dates: Short Talk Abstract Submission deadline: July 15th 2016 Short Talk Acceptance Notification: July 29th 2016 Poster Abstract Submission deadline: September 21st 2016 … Continued

Sarah Wheelan Wins Funding For Cancer Research

IDIES affiliate Sarah Wheelan and co-principal investigator Carol Greider received $100,000 from the Allegheny Health Network Cancer Institute for their project “Distinct mechanism of telomere maintenance: toward individualized treatment.” Dr. Wheelan is an associate professor at the Oncology Center-Cancer Biology in the School of Medicine at The Johns Hopkins University. She has received two grants … Continued

Michael Schatz named 21st Bloomberg Distinguished Professor

Michael Schatz has been honored with the prestigious endowed Bloomberg Distinguished Professorship. He shares this honor with two other IDIES affiliates: Director Alex Szalay and Associate Director Steven Salzberg. The professorships were established with a landmark gift by alumnus Michael R. Bloomberg, the goal of which is to bring together a group of 50 extraordinary … Continued

IDIES Affiliate Ben Langmead Leverages IDIES Seed Fund Money to win NIH Grant

Ben Langmead Picture

IDIES would like to congratulate Ben Langmead for his recent award, funded by the National Institute of Health. IDIES seed funding enabled Ben’s team to develop Rail-RNA, a software tool that enables scientists, including those with limited computational resources and expertise, to execute a uniform, splicing-aware, annotation-agnostic analysis of many RNA sequencing datasets. This software … Continued