
Connecting the Future of Computational Biology
Member Spotlight
Recent Member Features
Amplifying the voices of Black women in computational and quantitative biosciences across the globe
The Black Women in Computational Biology Network connects our scientists worldwide to a community, professional connections, opportunities, and resources to transform the face of the computational biology field.

University of California, Santa Cruz
Bioinformatician, UMass Chan


Novartis Institute for Biomedical Research
BWCB Membership Benefits
This online platform houses resources, member stories, events, and more. Becoming a member means you identify as a Black woman in this field and gives you access to exclusive newsletters, communications, and member opportunities. There is no membership fee at this time.
240
Members and counting from over 20 countries

Get involved with leading our global community and advancing our mission with our Pathways to Computational Biology or Programming initiative boards. You can also represent your region (North/South America & Africa/Europe) or peer group to ensure our initiatives remain inclusive for our geographically and experientially diverse membership
Global Leadership Opportunities

Enjoy regular opportunities to grow your personal and professional networks with other Black womxn through a monthly Coffee Chat Partner, an opportunity to join a mentoring circle, or engage in our coveted virtual networking meetups.
Exclusive Networking Opportunities

Join members in a safe space for scientific intellectual engagement.
Journal Club meets bi-weekly in 2021 and is just for BWCB members equally excited about discussing topics in computational biology.
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Bi-weekly #BlackInCompBio seminars feature Black scientists in the field and are perfect opportunities to practice communicating your work.
Scientific Engagement Initiatives
Computational Biology
Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling and simulation. (Nature.com)
Support for BWCB


