• PORTFOLIO WEBSITE: https://cchen5891.github.io; LINKEDIN: https://www.linkedin.com/in/cchen5891• PROGRAMMING LANGUAGES: Python, R, SQL, Bash, MATLAB, C/C++, Django, MongoDB• STATISTICAL PLATFORMS: R studio, Excel, Google Sheets, SAS, JMP, Minitab, Tableau• COMPUTATION PACKAGES: LAMMPS, SCM, Desmond, COMSOL, Abaqus, ANSYS, NWChem, Gaussian, RDKit• DEVELOPMENT ENVIRONMENTS: Linux, Windows, MacOS, AWS, Azure, Google Cloud, GitHub• Permanent resident of the US.• Ph.D. in Chemistry with 10+ years of data science and analysis experience after graduation in the fields of chemistry, physics, biology, materials science, and engineering. Continuous commitment to lifelong learning with broad interests and willingness to accept undefined challenges.• Rich experience in the data analysis pipeline covering data preparation, collection, cleaning, organization, interpretation, visualization, and reporting.• Solid knowledge and understanding of machine learning (ML) algorithms and hands-on experience in designing, developing, deploying, and maintaining ML frameworks and training and troubleshooting ML models for various applications. • A skilled presenter that communicates smoothly with different audiences with tailored materials. An inspiring teammate that works collaboratively across different functional organizations. A capable leader that is experienced in project initiation and physical/human resources management.• Expertise with hierarchical computation methods applied in various fields: classical/reactive molecular dynamics (MD) simulations, first-principle calculations, Monte Carlo (MC) algorithms, coarse-grained simulations, and finite element analysis (FEA).