Register now for the 2017 BioHealth
Capital Region Forum! Click on the 
image above for more information!

The Capital Area Advanced Research
and Education Network is an initiative
designed to build a high-performance
research and education infrastructure
serving the Washington, DC, and
Northern Virginia areas. CAAREN
will facilitate world-class research,
education and knowledge sharing in
the nation’s capital. Click the image
above to learn more!

CBI Transitions to the Milken Institute School of Public Health

The Computational Biology Institute is highlighted in the Milken Institute School of Public Health's "2016 Progress Report" as we make the exciting transition into the organization. Check us out on page 17!



About the CBI

The Computational Biology Institute (CBI) at the George Washington University (GW) is an interdisciplinary effort building on GW’s strengths in life sciences and computational science, in addition to the wealth of research centers in the Washington, DC-area. By bringing together GW experts and scholars from partner institutions, CBI will provide cutting edge research, enable broad educational activities in computational biology and provide computational biology services to university researchers and public and private partners.

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8th International Moscow Conference on Computational Molecular Biology

The conference will take place on July 27th to 30th in Moscow, Russia. The conference will feature about 40 talks, 100 posters, as well as demonstrations and roundtables. Click above for more information!


2017 ORNL Research Opportunities and Intelligence Community Postdoctoral Research Fellowship Program

The Intelligence Community (IC) Postdoctoral Research Fellowship Program offers scientists and engineers from a wide variety of disciplines unique opportunities to conduct research in a wide range of topics relevant to the Intelligence Community. Applications are due March 31st. For more information, click on the link above!


Open Bioinformatics Scientist Position at Thermo Fisher

Thermo Fisher Scientific is a leader in promoting global health. As part of that mission, we are seeking a bioinformatics scientist to contribute to genotyping by sequencing (GBS) projects related to trait selection for plant and animal breeders. Click on the link above to apply.


2nd International Zika Conference and Workshop

The event will be taking place on March 29th-31st in Herndon, VA. To learn more, click the link above!


Big Data in Biomedicine Conference at Stanford University

Join researchers and leaders from academia, hospitals, government and industry for two days at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health. See the event webpage above!


University of Washington Summer Institutes

UW will be offering summer institutes in Statistics Genetics, Statistics for Big Data, Statistics and Modeling in Infectious Diseases, and Statistics for Clinical Research. Check out the link above for more information!


Join NCATS for Rare Disease Day at NIH

Rare diseases affect an estimated 25 million Americans. On Feb. 27, 2017, NIH will host an event designed to raise awareness about rare diseases, the people they affect and current research collaborations. Sponsored by NCATS and the NIH Clinical Center, Rare Disease Day at NIH will take place from 8:30 a.m. to 4:00 p.m. in Masur Auditorium in Building 10 on the NIH main campus in Bethesda, Maryland. The event will feature presentations, posters, exhibits, an art show and tours of the NIH Clinical Center. Admission is free and open to the public. In association with Global Genes®, participants are encouraged to wear their favorite pair of jeans. Be sure to follow the event on social media using #RDDNIH.


NSF Mathematical Sciences Graduate Internship Program

The National Science Foundation (NSF) Division of Mathematical Sciences (DMS) aims to provide opportunities to enrich the training of graduate students in the Mathematical Sciences through the provision of an NSF Mathematical Sciences Graduate Internship Program. This program will provide an opportunity for mathematical sciences doctoral students to participate in internships at federal national laboratories, industry and other approved facilities. Participation in an internship will provide first-hand experience of the use of mathematics in a nonacademic setting. The internships are aimed at students who are interested in understanding the application of advanced mathematical and statistical techniques to "real world" problems, regardless of whether the student plans to pursue an academic or nonacademic career. Click above for more information!


The BD2K Guide to the Fundamentals of Data Science

The NIH Big Data to Knowledge program has announced a series of online lectures. Click the link above for more details.

Research News

CBI Director Keith Crandall Published in Stat

February 09, 2017

Director of the Computational Biology Institute Keith Crandall was recently published an article in Stat titled "Creating family trees for disease-causing microbes could help control outbreaks".

PhD Student Jimmy Bernot Published in Systematic Parasitology

February 06, 2017

Jimmy Bernot, a PhD student in the Computational Biology Institute, has published an article on a new species of Pseudopandarus Kirtisinghe.

Perez-Losada Awarded Margaret Q. Landenberger Research Foundation Grant

February 03, 2017

Dr Marcos Perez-Losada, faculty member at the Computational Biology Institute at The George Washington University, has been awarded a grant from the Margaret Q Landenberger Research Foundation.

Perez-Losada and Crandall Publish in PLOS One

January 24, 2017

Dr Perez-Losada and Dr Keith Crandall, in cooperation with researchers from Children's National Medical Center and Universidada do Porto, have published an article in PLOS One.

Marcos Perez-Losada Published in The Pediatric Infectious Disease Journal

January 03, 2017

CBI faculty member Marcos Perez-Losada was recently published in the Pediatric Infectious Disease Journal.