Califano Lab (@califano_lab) 's Twitter Profile
Califano Lab

@califano_lab

This is Dr. Andrea Califano Lab official twitter account. We use systems biology principles to study cancer. We are at Columbia University.

ID: 1593337395658731520

linkhttp://califano.c2b2.columbia.edu/ calendar_today17-11-2022 20:17:23

46 Tweet

412 Followers

362 Following

Cellarity (@cellaritybio) 's Twitter Profile Photo

We’ve confirmed the following speakers for the 2023 Single Cell and AI in Medicine Symposium taking place on May 4! Register now to attend #SCAIM23 virtually and hear how #singlecell analysis and #AI is changing #drugdiscovery and #medicine. Register: bit.ly/3m4Cbv4

We’ve confirmed the following speakers for the 2023 Single Cell and AI in Medicine Symposium taking place on May 4!

Register now to attend #SCAIM23 virtually and hear how #singlecell analysis and #AI is changing #drugdiscovery and #medicine.

Register: bit.ly/3m4Cbv4
KenOliveLab (@kenolivelab) 's Twitter Profile Photo

Congrats to Prab and the entire extended team. This is a massive amount of work over probably a decade by dozens of investigators to show how RNA expression data can be used clinically to find tumor vulnerabilities.

AACR (@aacr) 's Twitter Profile Photo

Systems Biology, Big Data, and Metastasis: Andrea Califano, Elana J. Fertig, and Steven Gallinger will address this topic in a plenary session at the AACR Special Conference on Pancreatic Cancer (Sept 27-30, Boston). bit.ly/3XYmHaA #AACRpan23 Califano Lab @FertigLab

Systems Biology, Big Data, and Metastasis:
Andrea Califano, Elana J. Fertig, and Steven Gallinger will address this topic in a plenary session at the AACR Special Conference on Pancreatic Cancer (Sept 27-30, Boston).
bit.ly/3XYmHaA
#AACRpan23 <a href="/califano_lab/">Califano Lab</a> @FertigLab
Columbia - Irving Institute for Cancer Dynamics (@cancer_dynamics) 's Twitter Profile Photo

Welcome to new IICD member Mingxuan Zhang, a new PhD in Molecular Therapeutics and Systems Biology. He is excited to create interpretable machine learning models that offer quantitative perspectives on systems onco-pharmacology in Elham Azizi and Califano Lab.

Welcome to new IICD member Mingxuan Zhang, a new PhD in Molecular Therapeutics and Systems Biology. He is excited to create interpretable machine learning models that offer quantitative perspectives on systems onco-pharmacology in <a href="/elhamazizi/">Elham Azizi</a> and <a href="/califano_lab/">Califano Lab</a>.
Herbert Irving Comprehensive Cancer Center (@columbiacancer) 's Twitter Profile Photo

Andrea Califano, Dr, has been honored with the 26th Alfred G. Knudson Award in Cancer Genetics by National Cancer Institute for his contributions to the field of cancer research, working to uncover the genetic mysteries behind cancer. 👏 Columbia Medicine cancer.columbia.edu/news/andrea-ca…

Califano Lab (@califano_lab) 's Twitter Profile Photo

The support and excitement for last week's posts has been overwhelming and humbling! Thousands of people have responded and whished us well. We cannot thank every one individually, but a big shoutout to you also on behalf of my colleagues, John Tsang and Sohail Tavazoie.

Califano Lab (@califano_lab) 's Twitter Profile Photo

For those interested in connecting or collaborating, we are a little early on the curve to talk realistically about how these will shape up. However, as we ramp up the CZ Biohub NY's intramural/extramural programs, you will see job postings and RFAs for extramural collaborations.

Califano Lab (@califano_lab) 's Twitter Profile Photo

Hopefully, this will set the stage for an exciting decade of scientific research at the boundary of immunology and bioengineering.

Califano Lab (@califano_lab) 's Twitter Profile Photo

Great chat with STAT on how the work we’re doing at #CZBiohubNY exemplifies the power of collaboration and the potential of combining immunology, systems biology and AI to tackle some of the most challenging scientific questions of our time ⬇️ bit.ly/3SGq70v

Califano Lab (@califano_lab) 's Twitter Profile Photo

nature.com/articles/s4146… Our VESPA paper is out. We developed an algorithm to study time series phosphoproteomics data from drug perturbations.