Nicholas A. Danes, PhD


Curriculum Vitae

A PDF is available upon request.

Nicholas A. Danes

Computational Scientist

Summary

Computational scientist with over 10 years combined experience in industry and academia:

Education

Colorado School of Mines, PhD in Computational & Applied Mathematics December 2019

PhD Advisor: Dr. Karin Leiderman

Ph.D., Applied Mathematics (Continued at Mines) August 2013 - July 2016 August 2013 - July 2016

University of California, Merced, Left to Colorado School of Mines Research: Computational Model of Extravascular Platelet Aggregation Advisor: Dr. Karin Leiderman

California State University, Bakersfield, BS in Mathematics - Applied June 2013

Work Experience

Computational Scientist
Colorado School of Mines, Information Technology (IT)

August 2020 – Present

Computational Engineer I
Ball Aerospace & Technologies

September 2019 – August 2020

Research Experience

Graduate Student Researcher
Colorado School of Mines, Department of Applied Mathematics & Statistics
University of California, Merced, Department of Applied Mathematics

August 2016 – 2019
August 2014 – 2016

Advisor: Dr. Karin Leiderman | Funding: NIH R01HL120728

Research Intern
National Renewable Energy Lab (NREL), Computational Science Center

June – August 2017

Mentors: Drs. H. Sitarman, J. Stickel & M. A. Sprague | Funding: NSF DMS-155122

Undergraduate Researcher
California State University, Chico

June – August 2012

Mentor: Dr. Sergei Fomin | Funding: NSF DMS-1156612 Chico, CA

Awards

Publications

Link, K.G., Sorrells, M.G., Danes, N.A., Neeves, K.B., Leiderman, K. and Fogelson, A.L., 2020. A mathematical model of platelet aggregation in an extravascular injury under flow. Multiscale modeling & simulation, 18(4), pp.1489-1524.

Danes, N.A. and Leiderman, K., 2019. A density‐dependent FEM‐FCT algorithm with application to modeling platelet aggregation. International journal for numerical methods in biomedical engineering, 35(9), p.e3212.

Sitaraman, H., Danes, N., Lischeske, J.J., Stickel, J.J. and Sprague, M.A., 2019. Coupled CFD and chemical-kinetics simulations of cellulosic-biomass enzymatic hydrolysis: Mathematical-model development and validation. Chemical Engineering Science, 206, pp.348-360.

Schoeman, R.M., Rana, K., Danes, N., Lehmann, M., Di Paola, J.A., Fogelson, A.L., Leiderman, K. and Neeves, K.B., 2017. A microfluidic model of hemostasis sensitive to platelet function and coagulation. Cellular and molecular bioengineering, 10, pp.3-15.

Fomin, S., Shankar, R., Danes, N., Yasuda, A. and Chugunov, V., 2014. Rimming flow of a weakly elastic fluid. Theoretical and Computational Fluid Dynamics, 28, pp.485-498.

Mentoring

Conferences & Presentations

Teaching Experience

Skills

Computer Skills

Proficient HTML, CSS, Markdown, Git, C/C++, Bash
Intermediate Matlab, LaTeX, Fortran 77/90, Nek5000, Paraview, MPI, Slurm, Linux
Advanced Python (NumPy, SciPy, PETSc4Py, Matplotlib), FEniCS

Math

Other

Professional Memberships