Assistant Professor interested in functional systems genomics. @unc_PHCO @uncchemistry @CompMedUNC @UNC_Lineberger #newPI . she/her | opinions are my own
Chapel Hill, NC
Joined May 2016
- Tweets570
- Following477
- Followers352
- Likes742
Liz Brunk retweeted
Last week we published a landmark paper in Nature describing the production of the world's leading vaccine adjuvant, QS-21, in yeast. This work will pave the way for affordable, readily available, effective vaccine adjuvants for the world.
Liz Brunk retweeted
One of the most detailed models of a human cell. Obtained using X-ray, and cryoelectron microscopy:
Liz Brunk retweeted
I usually recommend my students choose a supervisor, rather than a project. A project could change and will end. Mentorship can be life long. pubmed.ncbi.nlm.nih.gov/2413…
Liz Brunk retweeted
We just UPDATED our massive database of funding opportunities for EARLY-CAREER RESEARCHERS.
For each of the 496 funding opportunities, we provide information, link, eligibility criteria, $ amount, and deadline.
research.jhu.edu/rdt/funding…
Liz Brunk retweeted
We just updated our large database of PhD fellowships.
For each of the 190 entries, we provide description of the fellowship, link, amount, deadline, and eligibility criteria (e.g. citizenship).
Downlonad this database here: research.jhu.edu/rdt/funding…
Liz Brunk retweeted
!Alert Carolina! Emergency - Update: Remain sheltered in place. This is an ongoing situation. Suspect at large. Check alertcarolina.unc.edu/ for updates
Liz Brunk retweeted
!Alert Carolina!
Emergency: Armed, dangerous person on or near campus. Go inside now; avoid windows. alertcarolina.unc.edu
Liz Brunk retweeted
Our review on advances in the management of Early-Stage Triple-Negative Breast Cancer
#bcsm @UNC_Lineberger
@prarthnavb @PSpanheimer @brunklab
Happy to share our review article on advances in early stage triple negative breast cancer @IJMS_MDPI.
A wonderful collaboration with my @ASCO mentor extraordinaire @YAbdouMD and colleagues. #bcsm #tnbc
bit.ly/44iSB2N
Liz Brunk retweeted
Finished "Bacteriophage T4 Infection" this morning. The thin white line at left, which folds up and down 10 times, depicts the length of the T4 genome. After I add a few finishing touches and make sure I haven't forgotten anything, I'll put the full-size file @buildmodels.
Liz Brunk retweeted
Come work with us! Want to study how cancer cells regulate genes and how that determines response to therapy? Want to use that to predict which patients will respond to specific therapies and empirically determine personalized treatment regimens? @UNC_Lineberger @UNCSurgery
Are you a skilled computational scientist with background in single cell & NGS pipelines?
Join our team! @brunklab and @PSpanheimer
Get involved on projects where precision medicine meets genome science!
90-100K, great benefits, remote possible:
unc.peopleadmin.com/postings…
Are you a skilled computational scientist with background in single cell & NGS pipelines?
Join our team! @brunklab and @PSpanheimer
Get involved on projects where precision medicine meets genome science!
90-100K, great benefits, remote possible:
unc.peopleadmin.com/postings…
Liz Brunk retweeted
Fantastic talk on ML for genomic sequences by @jun90cheng
At #CHIL23; Lots of great questions about when LLMs will adapt to non-NLP data. Another option is to add additional structure during PT, as @marinkazitnik, I, & others explore in the paper below.
nature.com/articles/s42256-0…
Liz Brunk retweeted
"...students can have new opportunities to decide whether it is something they enjoy and that motivates them. We have numerous examples of students who loved this experience, and that's what makes it all worthwhile", says Dr. Elizabeth Brunk @brunklab.
tinyurl.com/47u86as8
Liz Brunk retweeted
🌟Applauding Dr. Elizabeth Brunk @brunklab, for her visionary leadership in expanding data science education! Her CyVerse-powered workshop with immersive 3D imaging and hands-on experiences transformed the data science landscape for over 300 undergrads!
tinyurl.com/23wj26zk
Liz Brunk retweeted
NEW PREPRINT: pubmed.ncbi.nlm.nih.gov/3706…
Intratumor heterogeneity is associated with worse outcomes and poor response to treatment across human solid organ tumors - so can we measure distinct responses in distinct cell types? Is that informative?
