Computational Biology · Columbia University
Pe'er Lab
We develop computational methods to understand high-throughput biological data. We build probabilistic models, machine-learning methods, and advanced data representations, creating new computational tools to study the dynamics of the microbiome, the evolution of cancer, and the organization of single-cell systems.
What we study
Microbiome Dynamics
Personalized growth rates, contamination correction, pan-metagenomic graphs, and microbiome-based prediction across studies.
Representation & Geometric Learning
Decision trees, random forests, and phylogenetic inference built on non-Euclidean and other advanced representations of biological data.
Cancer Genomics & Single-cell
Metacell inference (SEACells), transcriptomic plasticity in metastasis, and tumor microenvironment analysis at single-cell resolution.
More
Additional and earlier directions, including population and human genetics, are described on the full research page.
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Latest work
Talukder A, Keung N, Pe'er I, Knowles DA
Austin GI, Pe'er I, Korem T
Austin GI, Brown Kav A, ElNaggar S … Pe'er I, Korem T
The team
Prof. Pe'er
IP
Principal Investigator · Professor of Computer Science & Systems Biology · Vice Chair of Computer Science
Personal page →
Current lab members
Alumni — Postdoctoral researchers
SC
YS
VV
Alumni — PhD graduates
SP
RK
PC
YL
TJ
AM
CP
AG
PP
AK
SP2
ND
EK
Get in touch
Join the team
Contact
Email
Office
Office Hour
Fri 9-9:50 (F26)
Lab
Online
Affiliation
Department of Computer Science, in the Fu Foundation School of Engineering & Applied Science
Department of Systems Biology, in the Vagelos College of Physicians & Surgeons
Columbia University
Department of Systems Biology, in the Vagelos College of Physicians & Surgeons
Columbia University
Mailing address
Department of Computer Science
450 Computer Science Building, Mailcode 0401
Columbia University
500 W 120th St, New York, NY
450 Computer Science Building, Mailcode 0401
Columbia University
500 W 120th St, New York, NY