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Career
·
Instructor
,
NYU Center for Data Science
2021–2022
·
PhD Student
,
New York University
2019–
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PhD Student
,
NYU Center for Data Science
2019–
·
Intern
,
Polymathic AI
Publications
(18)
Single-cell gene regulatory network inference at scale: The Inferelator 3.0
2021
38
cited
Coordinated control of neuronal differentiation and wiring by sustained transcription factors
Science · 2022
24
cited
High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0
bioRxiv · 2021
19
cited
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
Trans. Mach. Learn. Res. · 2024
3
cited
Coordinated control of neuronal differentiation and wiring by a sustained code of transcription factors
bioRxiv · 2022
2
cited
A Variational Inference Approach to Single-Cell Gene Regulatory Network Inference using Probabilistic Matrix Factorization
bioRxiv · 2023
1
cited
Identification of new therapeutic targets in CRLF2-overexpressing B-ALL through discovery of TF-gene regulatory interactions
bioRxiv · 2019
1
cited
GLM-Prior: a genomic language model for transferable sequence-derived priors in gene regulatory network inference
bioRxiv · 2025
Probabilistic Matrix Factorization for Gene Regulatory Network Inference
2022
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Claudia Skok Gibbs | Researcher Profile | Sotabase | Sotabase