Herbold Computational Biology Program

Now accepting applications for Mahan Fellowship 2022/23 application cycle

Computational Biology Values

We are a collection of labs who use computational methods to learn about biology. We want computational biology to be a welcoming and inclusive place for people of all backgrounds, 

  • advancing biology via rigorous and reproducible research
  • forming a nexus of labs leading to collaborative science
  • placing an emphasis on mentorship of the next generation of researchers
  • fostering a diverse community of computational biologists

The Herbold Computational Biology Program was established in 2007 with the support of Bob and Pat Herbold. We merge traditional biological sciences with advanced training in physics, statistics, mathematics and computer science. By using computational methods and tools to address biological questions, we explore what was once purely experimental or purely computational/statistical, allowing our program to address new areas of research.

The Computational Biology Program (CB) strives to provide a respectful environment for everyone here, irrespective of race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), gender, sexual orientation, gender identity or expression, national origin, ancestry, ethnicity, age, physical or mental disability, citizenship, marital status, genetic information, genetic status or characteristics, military or veteran status, or on any basis protected by an applicable law (a “protected characteristic”).

Professor Robert Bradley, Herbold Computational Biology Program

Faculty and Labs

Our faculty members have expertise in transcription/translation control, adaptive-immune system dynamics, and phylogenetics.

Trevor Bedford, Ph.D. Associate Professor, Biostatistics, Bioinformatics and Epidemiology Program Vaccine and Infectious Disease Division, Fred Hutch

News

See the latest news about our program scientists, research, grants and discoveries.

The Mahan Postdoctoral Fellowship

The Mahan postdoctoral fellowship supports exceptional young scientists in the early stages of their careers. We offer fellows a 21-month stipend as they pursue their proposed research project, alongside a mentor in one of our Herbold Computational Biologist laboratories.

Recent Publications

  • Lu SX, De Neef E, Thomas JD…Abdel-Wahab O, Bradley RK. Pharmacologic modulation of RNA splicing enhances anti-tumor immunity. Cell. 2021 Jul 22;184(15):4032-4047.e31. https://doi.org/10.1016/j.cell.2021.05.038. Epub 2021 Jun 24. PMID: 34171309.
 
  • Eguia RT, Crawford KHD, Stevens-Ayers T, Kelnhofer-Millevolte L, Greninger AL, Englund JA, Bloom JD. (2021) A human coronavirus evolves antigenically to escape antibody immunity. PLoS Pathog 17(4): e1009453. https://doi.org/10.1371/journal.ppat.1009453
 
  • Greaney, Allison J., Andrea N. Loes, Katharine HD Crawford, Tyler N. Starr, Keara D. Malone…Jesse D. Bloom. "Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies." Cell host & microbe 29, no. 3 (2021): 463-476. https://doi.org/10.1016/j.chom.2021.02.003
 
  • Starr, T.N., Czudnochowski, N., Liu, Z...Corti D, G Snell, Bloom JD. SARS-CoV-2 RBD antibodies that maximize breadth and resistance to escape. Nature 597, 97–102 (2021). https://doi.org/10.1038/s41586-021-03807-6
 
  • Vichas, A., Riley, A.K...Berger AH. Integrative oncogene-dependency mapping identifies RIT1 vulnerabilities and synergies in lung cancer. Nat Commun 12, 4789 (2021). https://doi.org/10.1038/s41467-021-24841-y

 

Groups

Computational biology consists of members spanning Public Health Science, Basic, Human Biology, VIDD, and a variety of departments at the University of Washington.

We welcome both computational researchers who want to learn about biology, as well as biologists who want to learn computational methods. The Fred Hutch is well equipped to bring people in the latter category up to speed. Comp bio faculty run MCB 536, a course to introduce computational tools to biology graduate students, and our scientific computing documentation is comprehensive and up to date.

phyloseminar.org

Access a free monthly seminar series on phylogenetics, organized by Dr. Frederick “Erick” Matsen. Attend seminars online in real time or via recordings at your convenience.

phyloseminar.org

Girls Who Code

The Fred Hutch club in partnership with the national nonprofit organization, Girls Who Code. We offer a year-long, after-school program designed to build a foundation in computer science. Dr. Beverly Torok-Storb advises our club on Tuesdays from 4-6 p.m. for girls in grades 10-12 during the school year.

Join the club



Computational Biology Postdoc and Graduate Student Group

This self-governed group facilitates collaboration and community among postdocs and graduate students with an interest in Computational Biology. Our bimonthly meetings give students the opportunity to practice an upcoming talk, review research, discuss new technology, and ask questions.

To learn more, contact Samantha Distel.

Latest Herbold Computational Biology News

More Computational Biology News
Dr. Anat Zimmer receives AAUW fellowship Fred Hutch computational biologist who relocated from Israel will receive support while investigating cancer genomics October 13, 2022
Latest Fred Hutch research on COVID-19 How Hutch scientists have been tackling coronavirus in lab and clinic June 30, 2022
Dr. Robert Bradley named scientific director of Fred Hutch Translational Data Science Integrated Research Center Computational biologist will lead efforts to integrate data science in bench-to-bedside cancer research December 1, 2021

Want to work in the Herbold Computational Biology Program?

Mailing Address

Fred Hutchinson Cancer Center
Herbold Computational Biology Program
P.O. Box 19024
Seattle, WA  98109-1024

Program Contacts

Program Operations Director - Melissa Alvendia, malvendi@fredhutch.org
Administrative Coordinator - Carlyn Fausto, cfausto@fredhutch.org
Research Administrator - Samantha Smallwood, sdistel@fredhutch.org
Research Administrator - Ruby Mae San Pedro, rsanpedr@fredhutch.org