Chris Dimapasok Email & Phone Number

Los Angeles, CA, US

Denver, Colorado, United States

- Perform statistical analysis in R/Python on virtual machine, interpretation of bioinformatics data, and develop software tools for deep understanding of SomaLogic data workflows.- Engage in problem solving with customers, stakeholders, and commercial team regarding utility of data for experimental design and statistical tests.- Deliver technology.

- Finalize user documentation and tutorials and prepare R software package for publication on CRAN and testscience.org https://testscience.org/wp-content/uploads/formidable/20/3000045-Dimapasok-et-al.pdfPresentations: Implementing Fast Flexible Space Filling Designs In R. DATAWorks 2023 Conference, Presenter/Poster Session. April 25-27 Contributed Speaker.

- Design and implement a software package in R utilizing k-means and hierarchical clustering for parameter estimation and modeling of military systems, resulting in the improved efficiency of IDA’s DOE workflow- Create comprehensive documentation, website vignette tutorial, and develop RShiny app enabling users to interact and visualize results in real.

ProjectsConvolutional Neural Network Image ClassifierGenomic/Drug Target Query InterfaceRelational Database SchemaGene Prediction Comparison Tool

- Employed a range of computational approaches such as data visualization, regression modeling, hypothesis testing, and data analysis to analyze gene expression data - Leveraged expertise in statistical methods to interpret findings, identify patterns, and understand biological and technical variation found in tissue samples that have gone through.

Thousand Oaks, California, United States

- Conducted microbiology assays and testing on manufacturing samples and drug isolator biological indicators in GMP conditions, ensuring compliance with regulatory standards- Maintained laboratory equipment, including calibration, troubleshooting, and repair

Terasaki Life Sciences

- Applied machine learning and bioinformatics tools to model and analyze molecular epigenetic profiles with Python, Pandas, and Numpy- Prepared and processed patient DNA methylation data containing 28,000 CPG sites for analysis- Developed an elastic net model using supervised learning methods in Python to accurately predict epigenetic age, achieving an.

- Responsible for introducing junior and senior undergraduate students to various computational biology tools to perform genome annotation on a recently sequenced organism at UCLA - Delivered presentations three days a week, facilitated lab sections, and monitored student progress

Greater Los Angeles Area

- Performed routine library services such as checking out books, periodicals, and other materials, shelving and assisting with interlibrary loans - Monitored library activities and assisted patrons at circulation desk

Master Of Science - Ms, Biomathematics, Bioinformatics, And Computational Biology

Graduate Degree in Computational Biology/Bioinformatics. Coursework: Coursework: Data Structures and Algorithms, Applied Machine Learning.

Bachelor Of Science - Bs, Molecular Cell And Developmental Biology