プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Lander I.に依頼

United States

Freelance Computational Researcher | Expert in Computational Fluid Dynamics & Multiphase Flow | C++ Fortran Python Rust

プロフィール概要

Applied computational scientist and research leader with over 20 years of experience developing and validating high-performance numerical and experimental models, probabilistic risk assessment methods, and large-scale data pipelines. I have a PhD in nuclear engineering with a minor in applied mathematics. My career spans across organizations such as Argonne National Laboratory, GE Hitachi Nuclear Energy, and international collaborations, where I directed DOE- and industry-funded projects. The projects I contributed to and led focused on computational fluid dynamics, numerical solvers, experimental validation, multiphase flow, uncertainty quantification, scenario modeling, and risk-informed decision frameworks for complex energy systems. I have a deep expertise in combining physics-based modeling with advanced machine learning to analyze high-dimensional, noisy data and translate results into actionable insights for stakeholders ranging from regulators to industry partners. Fluent in several languages (English, Spanish, French) and experienced as both a Principal Investigator and adjunct lecturer. I have a proven record of performing cutting-edge research, leading multidisciplinary teams, mentoring researchers, and shaping research agendas that bridge scientific rigor with practical, real-world outcomes.

専門分野

• ☆ Materials Science & Engineering
• ☆ Corrosion
• ☆ Aerospace Engineering
• ☆ Engineering Physics
• ☆ Computer Science
• ☆ Computer Hardware
• ☆ Supercomputing
• ☆ Parallel Computing
• ☆ Distributed Computing
• ☆ Safety & Reliability Engineering
• ☆ Computer-Aided Engineering
• ☆ Mechanical Engineering
• ☆ Mechanical Design
• ☆ Engineering Thermodynamics/Thermophysical Engineering
• ☆ Nuclear Engineering
• ☆ Systems Engineering
• ☆ Heat Transfer & Calorimetry
• ☆ Fluid Mechanics
• ☆ Computational Fluid Dynamics
• ☆ Industrial Engineering
• ☆ Process Control
• ☆ Data Collection
• ☆ Environmental Science
• ☆ Environmental Statistics
• ☆ Wave Mechanics
• ☆ Applied Mechanics
• ☆ Theoretical Mechanics
• ☆ Fluid Dynamics
• ☆ Statistical Mechanics
• ☆ Thermodynamics
• ☆ Nuclear Physics
• ☆ Nuclear Power
• ☆ Quantum Mechanics
• ☆ Theoretical Physics
• ☆ Computational Physics
• ☆ Applied Physics
• ☆ Mass Transfer
• ☆ Calorimetry/Heat Transfer
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Computational Sciences
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Mathematical Wavelets
• ☆ Computational Mathematics
• ☆ Knowledge Management
• ☆ Acoustic Engineering
• ☆ Engineering Design
• ☆ Data Storage
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ Markup Languages
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ User Research
• ☆ Quantitative User Research
• ☆ Meta-Research
• ☆ Feasibility Studies
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ Release Notes
• ☆ Experimental Protocols
• ☆ White Papers
• ☆ Spec Sheets
• ☆ Case Studies
• ☆ Science Communication
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Language Translation

サービス

• Writing

Writing Technical Writing

職務経験

Principal Nuclear Engineer

Argonne National Laboratory

9月 2018 - 5月 2025

Lead Engineer

GE Hitachi Nuclear Energy

12月 2010 - 8月 2018

Engineer

GE Hitachi Nuclear Energy

9月 2007 - 12月 2010

学歴

Certificate in quantitative finance

CQF Institute

6月 2025 - 現在

PhD in Nuclear Engineering

University of Pisa

5月 2010 - 12月 2015

MS in Mechanical Engineering

Georgia Institute of Technology

8月 2004 - 8月 2007

Engineering Degree (French accreditation)

Ecole Nationale Supérieure d'ingénieurs du Mans

9月 2002 - 8月 2007

Bachelor of Physics

University of Le Mans

9月 1999 - 6月 2003

認定資格

• Six Sigma Green Belt Certification

  GE Hitachi Nuclear Energy

  https://www.sixsigmacouncil.org/six-sigma-green-belt-certification/#:~:text=A Council for Six Sigma,Six Sigma throughout the organization.

  1月 2009 - 現在

出版物

JOURNAL ARTICLE

Victor C. Leite, Elia Merzari, Roberto Ponciroli, Lander Ibarra(2023). Convolutional Neural Network–Aided Temperature Field Reconstruction: An Innovative Method for Advanced Reactor Monitoring . Nuclear Technology. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--22. Informa {UK} Limited

Lander Ibarra, Tyler Sumner, Anton Moisseytsev, Daniel O’Grady, Christopher Keckler, Justin Thomas, Thomas Fanning, Carlo Parisi, Nolan Anderson, Frederick Gleicher, et al.(2022). Modeling of Safety Basis Events in the VTR . Nuclear Science and Engineering. 196. (sup1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 289--308. Informa {UK} Limited

Sumner, T., Moisseytsev, A., O’Grady, D., Ibarra, L., Keckler, C., Thomas, J., Fanning, T., Parisi, C., Anderson, N., Gleicher, F., et al.(2022). Modeling of Safety Basis Events in the VTR . Nuclear Science and Engineering. 196. (sup1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 289-308.

Sumner, T., Moisseytsev, A., O’Grady, D., Ibarra, L., Keckler, C., Thomas, J., Fanning, T., Parisi, C., Anderson, N., Gleicher, F., et al.(2022). Modeling of Safety Basis Events in the VTR . Nuclear Science and Engineering. 196. (sup1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 289-308.

CONFERENCE PAPER

Lander Ibarra, Jun Fang, Dillon Shaver (2022). High-Fidelity Multiphase Simulation of Steam Separators in a Light Water Reactor,. 19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-19), American Nuclear Society.

Lander Ibarra, Dillon Shaver (2022). NEK5000 Evaluation of Natural Convection Heat Transfer within Molten Salt Fuel Pins. 19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-19), American Nuclear Society.

Thomas, J.W., Ibarra, L., Sumner, T.(2020). Initial sensitivity analyses for versatile test reactor transient safety performance . Transactions of the American Nuclear Society. 123. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 989-991.

Thomas, J.W., Ibarra, L., Sumner, T.(2020). Initial sensitivity analyses for versatile test reactor transient safety performance . Transactions of the American Nuclear Society. 123. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 989-991.

Parisi, C., Anderson, N.A., Gleicher, F.N., Yoon, S., Brunett, A.J., O'Grady, D., Ibarra, L., Fanning, T.(2020). Verification and validation of SAS4A/SASSVS-1 for the versatile test reactor: RVACS . Transactions of the American Nuclear Society. 123. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1012-1015.

Parisi, C., Anderson, N.A., Gleicher, F.N., Yoon, S., Brunett, A.J., O'Grady, D., Ibarra, L., Fanning, T.(2020). Verification and validation of SAS4A/SASSVS-1 for the versatile test reactor: RVACS . Transactions of the American Nuclear Society. 123. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1012-1015.

Miller, A., Ibarra, L., Lamy, J., Vedovi, J., Kiel, P.(2017). TRACG benchmark study: 2015 fermi thermalhydraulic instability event . Transactions of the American Nuclear Society. 116. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1365-1368.

Miller, A., Ibarra, L., Lamy, J., Vedovi, J., Kiel, P.(2017). TRACG benchmark study: 2015 fermi thermalhydraulic instability event . Transactions of the American Nuclear Society. 116. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1365-1368.

Cowen, H., Pfeffer, S., Vedovi, J., Ibarra, L., Vreeland, D., Miranda, D.(2015). TRACG analysis and results of phase 1 of the Oecd/Nea oskarshamn-2 BWR stability benchmark . International Topical Meeting on Nuclear Reactor Thermal Hydraulics 2015, NURETH 2015. 5. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 4380-4393.

Cowen, H., Pfeffer, S., Vedovi, J., Ibarra, L., Vreeland, D., Miranda, D.(2015). TRACG analysis and results of phase 1 of the Oecd/Nea oskarshamn-2 BWR stability benchmark . International Topical Meeting on Nuclear Reactor Thermal Hydraulics 2015, NURETH 2015. 5. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 4380-4393.

Cowen, H.M., Pfeffer, S.L., Vedovi, J., Ibarra, L., Vreeland, D.G., Miranda, D.C.(2014). TRACG analysis of the OECD/NEA Oskarshamn-2 BWR stability benchmark based on February 25, 1999 feedwater transient event . International Congress on Advances in Nuclear Power Plants, ICAPP 2014. 2. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1565-1573.

Cowen, H.M., Pfeffer, S.L., Vedovi, J., Ibarra, L., Vreeland, D.G., Miranda, D.C.(2014). TRACG analysis of the OECD/NEA Oskarshamn-2 BWR stability benchmark based on February 25, 1999 feedwater transient event . International Congress on Advances in Nuclear Power Plants, ICAPP 2014. 2. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1565-1573.

Ibarra, L., Lockwood, B., De Oliveira, C.R.E.(2007). A one and two dimensional PCICE-based multiphysics algorithm for use in reactor core simulations . Joint International Topical Meeting on Mathematics and Computations and Supercomputing in Nuclear Applications, M and C + SNA 2007.

Ibarra, L., Lockwood, B., De Oliveira, C.R.E.(2007). A one and two dimensional PCICE-based multiphysics algorithm for use in reactor core simulations . Joint International Topical Meeting on Mathematics and Computations and Supercomputing in Nuclear Applications, M and C + SNA 2007.

OTHER

Leite, V.C., Merzari, E., Ponciroli, R., Ibarra, L.(2022). A STUDY ON CONVOLUTION NEURAL NETWORK FOR RECONSTRUCTING THE TEMPERATURE FIELD OF WALL-BOUNDED FLOWS . arXiv.

Leite, V.C., Merzari, E., Ponciroli, R., Ibarra, L.(2022). A STUDY ON CONVOLUTION NEURAL NETWORK FOR RECONSTRUCTING THE TEMPERATURE FIELD OF WALL-BOUNDED FLOWS . arXiv.

Ponciroli, R., Rovinelli, A., Ibarra, L.(2021). A convolutional neural network-based approach to field reconstruction . arXiv.

Ponciroli, R., Rovinelli, A., Ibarra, L.(2021). A convolutional neural network-based approach to field reconstruction . arXiv.