Pierre Joubert
Postdoctoral Researcher
Experience
Postdoctoral Researcher
Anna Poetsch’s Biomedical Genomics group, Dresden
- Benchmarked multiple LLMs for genomic prediction tasks, ensuring rigorous evaluation across architectures and datasets.
- Extended and streamlined in-lab LLM architecture, enhancing interpretability and broadening applicability.
- Identified sequence and epigenetic factors underlying human genome stability, enabling deeper insights into their distinct roles in genome biology.
- Mentored and designed projects for several master’s students and interns, leading to highly graded reports and development of pipelines with lab-wide applications.
Computational Biology Intern
Myriad Genetics
- Constructed an optimized data analysis pipeline that improved diagnostic accuracy of fetal aneuploidies in non-invasive prenatal testing.
Graduate Student
Ksenia Krasileva Lab, University of California, Berkeley
- Developed and led projects in fungal plant pathogen evolution, bringing a new field of study to the lab.
- Developed a novel sequencing and analysis pipeline for detecting circular DNAs, discovering a previously unknown aspect of fungal plant pathogen evolution.
- Led international collaboration, generating sequences for 70 new fungal plant pathogen genomes.
- Built scalable pipelines for genome assembly and data integration, NGS analysis, and scalable workflow development.
- Identified epigenetic markers linked to genome evolution in fungal plant pathogens, paving the way for improved disease resistant crop selection.
- Mentored and designed a project for an undergraduate researcher resulting in a co-first author publication.
Research Scientist, Sharon Doty Lab, University of Washington
Undergraduate Researcher, Sharon Doty Lab, University of Washington
- Discovered and characterized plant-associated microbes later licensed for agricultural applications.
- Led training and supervision of undergraduate researchers in molecular biology, experimental design and writing, resulting in increased lab productivity and fellowship success rates.
- Performed supply management and budgeting, reducing waste and material costs.
Industry Experience
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Experienced in Biotechnology, Agriculture, and Education.
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Experienced in Research and Development, Information Technology, Project Management, Finance, and Procurement.
Summary
Computational biologist with expertise in multi-omics data integration, NGS analysis, and scalable workflow development. Skilled in Python, R, HPC, and combining statistical and machine learning approaches to extract biological insights. Passionate about translating data-driven discoveries into advances in drug development and human health.
Skills
- Reproducible Data Analysis With Python, R, Bash, Git.
- Expertise In Ngs Data Analysis And Multi-omics.
- Experience With Workflow Managers (Wdl, Snakemake), Hpc And Cloud Environments.
Languages
Education
University of California, Berkeley
PhD in Microbiology with Designated Emphasis in Computational and Genomic Biology · Microbiology · Berkeley, United States
University of Washington
B.S. Biology (Molecular, Cellular, and Developmental) · Biology (Molecular, Cellular, and Developmental) · Seattle, United States
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