Irene Kaplow
Assistant Professor at Carnegie Mellon University
United States
Summary
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Senior🎓
Top SchoolIrene Kaplow is an Assistant Professor at Carnegie Mellon University with 11 years of experience at the intersection of computational biology and evolutionary genomics, focused on how transcriptional regulatory changes drive mammalian phenotype evolution. She developed a framework linking tissue-specific enhancer activity changes across species to evolved traits and contributed computational and experimental approaches while collaborating broadly through the Zoonomia Consortium. Her background blends deep learning for comparative open chromatin prediction, transcription factor binding interpretation (including C2H2 zinc finger biology), and hypothesis-driven experimental design. Trained at Stanford (PhD, CS) with a BS in Mathematics from MIT, she combines rigorous computational modeling with an eye toward falsifiable biological validation, enabling cross-species insights into complex traits like brain size and longevity. An understated strength is her ability to translate consortium-scale genomic data into targeted hypotheses and experimentally testable predictions.
11 years of coding experience
8 years of employment as a software developer
B.S. Mathematics, B.S. Mathematics at Massachusetts Institute of TechnologyCommonwealth SchoolPh.D. Computer Science, Ph.D. Computer Science at Stanford University
English, Hebrew, Spanish
Github Skills (94)
expressions10
seq10
image-manipulation10
theano10
bioinformatics10
convert9
fasta9
rna-seq9
image-processing9
package-management9
python9
mathematical9
pymc9
genomics9
image9
Programming languages (7)
Github contributions (5)
pfenninglab/TACIT
Jan 2022 - Jan 2023
OCR-Phenotype Association from Tissue-Aware Conservation Inference Toolkit
Contributions:4 releases, 70 commits, 1 PR in 11 months
associationdockingtissueinferenceocr
pfenninglab/OCROrthologPrediction
Nov 2020 - Jul 2024
Contributions:37 pushes, 1 branch in 3 years 8 months
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