Daniel Osorio Email & Phone Number
@austin.utexas.edu
LinkedIn matched
Who is Daniel Osorio? Overview
A concise factual answer block for searchers comparing this professional profile.
Daniel Osorio is listed as Senior Scientific Consultant, QDI at QIAGEN, based in Austin, Texas, United States. AeroLeads shows a work email signal at austin.utexas.edu and a matched LinkedIn profile for Daniel Osorio.
Daniel Osorio previously worked as Research Computing Data Scientist III at Boston Children'S Hospital and Postdoctoral Fellow at The University Of Texas At Austin. Daniel Osorio holds Doctor Of Philosophy - Phd, Biomedical Sciences from Texas A&M University.
Email format at QIAGEN
This section adds company-level context without repeating Daniel Osorio's masked contact details.
AeroLeads found 1 current-domain work email signal for Daniel Osorio. Compare company email patterns before reaching out.
About Daniel Osorio
Experienced computational biologist with a passion for advancing genomics and bioinformatics through innovative research and software development. I specialize in analyzing multiple high-throughput data types such as RNA-seq, ChIP-seq, ATAC-seq, Cut+Run/Tag, single-cell/nuclei RNA-seq, and single-cell ATAC-seq. Additionally, I have expertise in machine learning techniques, gene regulatory network analysis, data visualization, data mining, metabolic modeling, and bioactive peptide design.I have developed computational pipelines and tools that enhance understanding of complex biological systems using advanced R programming, high-performance computing, and workflow frameworks. I have a track record of producing high-quality research and collaborating effectively with colleagues from diverse backgrounds.
Listed skills include Transcriptomics, R (Programming Language, Data Analysis, R, and 7 others.
Daniel Osorio's current company
Company context helps verify the profile and gives searchers a useful next step.
Daniel Osorio work experience
A career timeline built from the work history available for this profile.
Research Computing Data Scientist Iii
- Provided expert computational support services to Boston Children's Hospital scientists and clinicians, utilizing a diverse range of bioinformatics tools, methods, and technologies to analyze complex next-generation sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, Cut+Run/Tag, single-cell/nuclei RNA-seq, and single-cell ATAC-seq.- Designed and built robust pipelines for data analysis, integration, and sharing, optimizing workflows for diverse data types, resulting in streamlined and reproducible analysis processes.- Demonstrated strong expertise in maintaining and upgrading research computing tools, methods, and technologies, including data migration and documentation of changes, ensuring up-to-date and efficient data analysis processes.- Proactively adjusted internal operation procedures to optimize efficiency, reproducibility, and effectiveness of data analysis workflows, resulting in improved productivity and accuracy of results, while consistently meeting deadlines and completing assignments within the required timeframe with minimal supervision.- Provided technical guidance and support to researchers and trainees on data analysis, statistical methods, and computational tools.
Postdoctoral Fellow
- Conducted advanced and in-depth data analysis on complex data sets in the field of cancer genomics, CRISPR screens, single cell and next-generation sequencing analysis, utilizing diverse bioinformatics tools and algorithms to derive novel and meaningful insights. - Developed cutting-edge tools and algorithms for data processing, quality control, and data visualization, including an innovative R package for reconstructing transcriptome-wide gene regulatory networks optimized for population-level studies.- Identified pivotal genetic and epigenetic biomarkers for cancer precision medicine, playing a critical role in the development of targeted therapies and personalized treatment strategies, contributing to advancements in cancer treatment prioritization. - Utilized cutting-edge data mining and advanced statistical analysis methods to uncover significant patterns and trends in large-scale single-cell RNA-seq data related to cancer, providing key insights into cancer biology and potential therapeutic targets.- Collaborated extensively with interdisciplinary teams of renowned researchers, oncologists, and biologists to provide data-driven insights and recommendations for cutting-edge cancer research projects, fostering collaborative and interdisciplinary approaches to cancer research.
Marie Skłodowska-Curie Postdoctoral Scientia Fellow
- Developed two R packages leveraging bioinformatics techniques: one generates accurate disease-specific response signatures from LINCS-L1000 data, enabling analysis of large-scale molecular data in the context of drug response profiles. The second package facilitates seamless download and merging of labeled single-cell RNA-seq data from PanglaoDB, enhancing analysis capabilities for complex biological data.- Co-authored multiple high-impact research papers reporting cutting-edge research in cancer biology and precision medicine.- Successfully secured a Familien Blix Fond Til Fremme Av Medisinsk Forskning funding of NOK\$ 50,000.- Demonstrated excelent problem-solving skills, strong ability to work independently, and strict adherence to best practices and standards in research, contributing to the successful completion of research projects within set timelines, and ensuring accuracy and rigor.
Graduate Research Assistant
- Developed a family of tools that use state-of-the-art machine learning algorithms to construct and compare gene regulatory networks from single-cell data and predict gene function in a context-specific manner.- Designed and implemented research projects, including experimental design, data collection, analysis, and interpretation, using advanced genomic and bioinformatic techniques.- Published research findings in peer-reviewed journals and presented research results at scientific conferences.- Collaborated with other researchers and faculty members in the department and in interdisciplinary settings to advance knowledge in the field of biomedical genomics and bioinformatics.- Acquired and maintained expertise in relevant research techniques, including genomics, transcriptomics, and statistical analysis.- Assisted faculty members in the development and delivery of graduate courses in biomedical genomics and bioinformatics.- Received a Graduate Student Research Trainee Grant (USD$ 5,000) and a Marie Sklodowska-Curie Postdoctoral Scientia II Fellowship to perform independent research and continue training as a postdoctoral fellow in Dr. Marieke Kuijjer's Lab at the Centre for Molecular Medicine Norway (NCMM), respectively.
Graduate Teaching Assistant
Daniel Osorio education
Doctor Of Philosophy - Phd, Biomedical Sciences
Master Of Science - Ms, Bioinformatics
Bachelor Of Science - Bs, Biology, General
Frequently asked questions about Daniel Osorio
Quick answers generated from the profile data available on this page.
What company does Daniel Osorio work for?
Daniel Osorio works for QIAGEN.
What is Daniel Osorio's role at QIAGEN?
Daniel Osorio is listed as Senior Scientific Consultant, QDI at QIAGEN.
What is Daniel Osorio's email address?
AeroLeads has found 1 work email signal at @austin.utexas.edu for Daniel Osorio at QIAGEN.
Where is Daniel Osorio based?
Daniel Osorio is based in Austin, Texas, United States while working with QIAGEN.
What companies has Daniel Osorio worked for?
Daniel Osorio has worked for Qiagen, Boston Children'S Hospital, The University Of Texas At Austin, Center For Molecular Medicine Norway (Ncmm), Former Biotechnology Center Of Oslo, University Of Oslo, and Texas A&M University.
How can I contact Daniel Osorio?
You can use AeroLeads to view verified contact signals for Daniel Osorio at QIAGEN, including work email, phone, and LinkedIn data when available.
What schools did Daniel Osorio attend?
Daniel Osorio holds Doctor Of Philosophy - Phd, Biomedical Sciences from Texas A&M University.
What skills is Daniel Osorio known for?
Daniel Osorio is listed with skills including Transcriptomics, R (Programming Language, Data Analysis, R, Molecular And Cellular Biology, Cell Culture, Structural Bioinformatics, and Single Cell Analysis.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial