A group spanning computation, human genetics, and lab operations — working at the interface of genomes and drug response.
Natalie Park leads Park Lab's research in computational pharmacology, building data-driven methods that connect human genetic variation to drug response. Her work spans pharmacogenomics, haplotype analysis, and precision-medicine tools that help translate genomic diversity into safer, more effective treatment.
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Computational biologist specializing in computational pharmacology, with expertise in integrating genomic, haplotype, and pharmacogenomic datasets to understand variability in drug response. Their work focuses on building data-driven models that connect human genetic diversity with drug efficacy, safety, and precision medicine applications.
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Computational biologist working at the interface of human genetics, molecular biology, and pharmacology. They analyze large-scale genome and haplotype data to identify genetic factors that influence therapeutic response, helping to reveal why individuals and populations respond differently to the same treatment.
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Computational pharmacology researcher with a strong focus on pharmacogenomics and personalized medicine. Their work applies computational modeling and systems biology approaches to connect genetic variation with drug mechanisms, response variability, and potential therapeutic opportunities across diverse human populations.
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Lab Manager supporting a computational pharmacology research team focused on human genomics, haplotypes, and drug response. They oversee daily lab operations, coordinate research workflows, manage resources and documentation, and help ensure smooth collaboration across computational, experimental, and administrative activities.
mailEmailIf you're excited about computational pharmacology, we'd love to hear from you. Send us a note and your CV at hello@parklab.ca and let's start a conversation.