Edgar Ivan Hinojosa Saldaña
Physicist — San Nicolás de los Garza, México e_e.ivan.h_hs@outlook.com · +52 867 175 1288 · edgarivanhinojosa.xyz · LinkedIn
Self-driven professional with autonomous learning habits, focused on precision and continuous process improvement. Throughout my development I have acquired techniques and skills in mathematical modeling, statistical data analysis, software development, and instrumentation.
Education
B.S. in Physics Facultad de Ciencias Físico Matemáticas, UANL — San Nicolás de los Garza Aug. 2021 – Dec. 2025
- Relevant courses: Programming Methodology, Computational Physics, Probability and Statistics, Scientific Modeling
High School Instituto América de Estudios Superiores — Nuevo Laredo, Tamps. Aug. 2018 – Aug. 2021
Experience
Validation Testing Engineer (part-time) Creativeit Group — Mar. 2026 – Present
- Design of a data acquisition system programmed in Python and PyVISA, using IEEE 488 SCPI protocols and PyQt graphical interface integration.
- Documentation and execution of validation tests; consulting standards and writing pre-certification reports and preventive maintenance assays.
Laboratory Technician and Instructor Department of Physics, FCFM — Jan. 2025 – Dec. 2025
- Design and instruction of laboratory practicals emphasizing quantitative and statistical analysis of results.
- Design and population of an SQLite database for equipment inventory management.
Research & Development
XXVI Scientific and Technological Summer Research — UANL, Aug. 2025 Design of a vortex machine for hydrodynamic systems.
Research Assistant in Mathematical Physics — CICFIM, 2023–2024 Physical-motivation-based deduction of symplectic structure in Classical Mechanics.
Thesis Writing — UANL, 2023 Documentation of calculations, bibliographic review, and interpretation of results.
XXIV Scientific and Technological Summer Research — UANL, Aug. 2023 Documentation of deductive demonstrations in geometric optics.
Research Assistant in Materials Simulation — CICFIM, 2022–2023 Development of optimization algorithms on High Performance Computing systems.
Scientific Modeling & Data Analysis
Skills developed:
- Mathematical model development and validation — Derived from first principles or statistical frameworks; experimentally contrasted for interpretation and successive correction.
- Literature review — Reading of documentation and bibliographic background, as well as writing of expository deliverables and interactive reports.
- Software development — Implementation of Python routines for cleaning, analysis, and visualization of experimental data. Pattern extraction algorithms with semi-automatic computer vision.
- Statistical techniques — Confidence intervals, hypothesis testing, normality tests, linear and logistic regression, cross-validation, bootstrapping, decision trees, random forests, DBSCAN, clustering, support vector machines, regularization methods (LASSO), principal component analysis, neural networks, among others.
Projects:
- Professor Approval Distribution — Application of normality tests (Kolmogorov–Smirnov and others) to characterize the distribution of professor ratings by users of misprofes.com.
- Numerical Methods Library in Modern Fortran — A Fortran and Python library using object-oriented Modern Fortran for organizing numerical and statistical methods.
- Laser Beam Extraction — Image processing for laser beam extraction via physically-motivated snake optimization method.
- Predictive Code in Python and Fortran — Computational implementation of a biologically plausible neural network with stochastic stimulus response, for learning probability distributions.
- Fractional Modeling of Gelatin Viscoelasticity — Experimental validation of a model via analysis of dynamic response experimental results.
- Predictive Maintenance — Decision trees and random forests for vibration characterization in power motors for successive failure prediction.
Conferences & Colloquia
- National Physics Congress 2025 — Poster: Gravitational lens analogy via waveguide in a vorticity fluid system.
- Applied Optics and Energy Sustainability Seminar 2025 — Poster (2nd place): Friction Force Measurement with Time Series Analysis.
- FCFM Experimental Physics Fair, Spring 2025 — Poster: The Vortical Lens of a Fluid and its Similarity to the Gravitational Lens.
- AAPT Colloquium 2024 — Talk: Eddington Experiment: a Hydrodynamic Experimental Precedent.
- National Physics Congress 2024 — Poster: Symplectic Geometry in Classical Mechanics.
Courses & Certifications
| Course | Institution | Date |
|---|---|---|
| Advanced Integrated Technologies School 2025 — Optical technologies, plasmon theory | CICESE, Monterrey | 2025 |
| Laser Safety Workshop | CICESE, Monterrey | 2025 |
| Summer School in Statistical Computing 2024 — Machine learning, consulting, parallel computing | CIMAT, Monterrey | Jul. 2024 |
| 6th Thematic School in Analysis and Dynamical Systems — Spectral theory, chaotic dynamics | CIMAT, Guanajuato | Jun. 2024 |
| Consulting Workshop — Applied statistical methods, executive reporting | FCFM | Jun. 2024 |
| Statistical Learning (MOOC) — Linear and classification models, CNNs, bootstrapping | Stanford Online | 2023 |
| Summer School in Modeling and Data Analysis, ed. V — FeynCalc for QFT symbolic computation | UANL | Jul. 2023 |
| Summer School in Modeling and Data Analysis, ed. III — R, statistical methods, Bash | FCFM | Jul. 2023 |
| AutoCAD Fundamentals | UANL | Oct. 2022 |
| Summer School in Modeling and Data Analysis, ed. II — Bash, DFT, Molecular Dynamics | UANL | Jul. 2022 |
| Python Programming: Basic and Intermediate | UANL | Jan. 2022 |
Distinctions
- Mexican Mathematics Olympiad (OMM) — State finalist, problem solving and mathematical reasoning, 2019–2021.
- Talent Program, UANL — Academic excellence scholarship, 2021.
Extracurricular Activities
- Datathon 2024, TEC-MTY — Web scraping, sentiment analysis, clustering.
- Experiment Fair Judge 2025 — Participation as judge focusing on didactic experiment design and technological proposals.
Skills
Languages: Spanish, English
Programming: Python, R, Bash, Fortran, Mathematica
Tools & Frameworks: Jupyter, Streamlit, PyQt, OpenCV, NumPy, Scikit-Learn, PyTorch, SQLite
Software: Office, AutoCAD, RStudio, Onshape, Vim, Linux environments
Instrumentation: Oscilloscope, precision multimeter, electrometer, high-voltage testers, vector network analyzer, data acquisition systems, lasers, optical systems, high-voltage sources, soldering, digital circuits and electronics.