Alisandra Denton
Staff Machine Learning Scientist at Valence Labs
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolAlisandra Denton is a Staff Machine Learning Scientist in Montreal with 11 years of experience applying deep learning and statistical rigor to genomics, transcriptomics, and sequence data. Her background spans wetlab protocols through advanced computational workflows, making her particularly adept at diagnosing technical biases and data-quality issues that confound biological inference. She has led group-level research applying deep models for structural gene annotation and integrated imaging-to-gene-activity approaches to read cellular state from high-throughput assays. Alisandra’s work bridges academic postdoctoral research and industry R&D—she helped evolve Valence Labs’ computational strategy following its acquisition and has a track record of mentoring and teaching genomics best practices. Driven by a long-term goal to build fundamental biological models, she is motivated by applications in sustainable agriculture, biofuels, and improved medical diagnostics. A detail-oriented “data detective,” she combines hands-on wetlab experience with production-focused ML to ensure models reflect real biology, not artifacts.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Molecular Biology, Bachelor of Arts (B.A.) Molecular Biology at Colgate UniversityDoctorate Plant Biochemistry, Doctorate Plant Biochemistry at University of Düsseldorf
German, English
Github Skills (27)
python10
predict10
data-science10
annotations10
scikit10
statistics10
machine-learning10
scikit-learn10
data-analysis10
tensorflow9
deep-learning9
relational8
seq7
api7
database6
Programming languages (3)
Github contributions (5)
weberlab-hhu/GeenuFF
Feb 2019 - Mar 2024
Schema and API for a relational db that encodes gene models in an explicit, structured, and robust fashion.
Contributions:1 release, 1 PR, 146 pushes in 5 years 2 months
apirelationalstructureddatabasegene
weberlab-hhu/RNAsleek
Jan 2022 - Dec 2022
Semi-automated RNAseq pipeline for a PBSpro cluster
Contributions:1 PR, 31 pushes, 1 branch in 11 months
pbsprornaseqpipelinesemibioinformatics
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