Juan Miguel Navarro Carranza
Software Engineer at Google
Ph.D. from Stanford University experienced in AI/ML, large language model (LLM) evaluation, high-performance computing (HPC), and large-scale data systems. Interests include agentic AI frameworks, LLMs, reinforcement learning, graph machine learning, and probabilistic risk modeling, with a focus on bridging cutting-edge AI with real-world engineering and data challenges. Recent work includes a NeurIPS 2025 paper and oral presentation on LLM robustness under paraphrase stress tests.
Education
Stanford University
Ph.D. in Structural Engineering; doctoral training in Computer Science
Stanford University
M.S. in Structural Engineering
Universidad de Guadalajara
B.S. in Civil and Environmental Engineering; GPA: 97.38/100; Summa Cum Laude
Institut National des Sciences Appliquées de Lyon (INSA de Lyon)
Study abroad program in Civil Engineering and Urban Planning
Experience
Software Engineer
Google
Software engineering at Google.
AI Research Engineer
Daice Labs · Boston, U.S.
Designing hybrid AI systems that integrate foundation models with neurosymbolic reasoning and biologically inspired computational principles. Developing robustness evaluation and governance tooling to audit system behavior under contextual variation, and collaborating across engineering and product teams to translate research prototypes into scalable, production-ready AI solutions.
- Prototyping hybrid composite AI architectures that combine foundation models with neurosymbolic components and bio-inspired system design for adaptive, auditable workflows.
- Developing evaluation and governance-minded tooling to stress-test hybrid systems under changing context and to support traceable, explainable decision-making.
- Collaborating across engineering and product teams to translate research findings into production-ready AI solutions.
Graduate Researcher
Stanford University · Stanford, U.S.
- Developed and published a reproducible evaluation protocol (NeurIPS 2025 Workshop) measuring surface-form robustness of LLMs via paraphrase stress tests, using Mistral-7B and Qwen2.5-7B with deterministic 4-bit inference on NVIDIA A100.
- Designed and implemented large-scale HPC pipelines for nonlinear dynamic simulations of reinforced concrete buildings, scaling to hundreds of thousands of earthquake simulations on Stanford’s Sherlock cluster.
- Built a modular Python data ecosystem integrating DuckDB (relational metadata) and HDF5 (time-series arrays), enabling fast querying and analysis of multi-terabyte structural simulation datasets.
- Parametric calibration of the Reinforcement Ductile Fracture Model (RDFM), integrating mechanics and ML to predict reinforcement fracture under low-cycle fatigue of reinforced concrete shear walls; validated with 23 laboratory experiments.
- Applied machine learning methods (Bayesian inference, probabilistic risk modeling) to quantify collapse fragility, resilience metrics, and post-earthquake degradation of building systems.
- Produced visualization and analytics tools (Matplotlib, Jupyter, HPC logging) for real-time monitoring and reproducibility of simulations across thousands of jobs.
Teaching Assistant, CEE 280 Advanced Structural Analysis
Stanford University · Stanford, U.S.
- Mentored students in object-oriented software design for structural analysis engines, guiding projects from architecture to implementation.
- Led tutorials on structural analysis methods and programming skills, increasing student performance and engagement.
- Provided detailed feedback on code and analysis workflows, reinforcing best practices in version control, modularity, and reproducibility.
Structural Engineer
Balderrama & Silos Ingeniería Estructural, S.C. · Guadalajara, Mexico
- Co-led structural design of a $500M industrial facility and multiple commercial/residential projects, delivering structural systems from analysis through construction.
- Developed custom algorithms and automation tools for analysis/design of structural elements, improving team efficiency and reducing manual calculation time.
- Directed a team on the design of a 5-story residential building in Mexico City and the data center building for Megacable in Guadalajara, Mexico.
- Managed structural project workflows, coordinating engineers to ensure delivery under tight deadlines.
Publications
StEER-07 Jan. 2020 Puerto Rico Mw6.4 Earthquake: preliminary virtual reconnaissance report (PVRR)
E. Miranda, A. Acosta Vera, L. Aponte-Bermudez, J. Archbold, M. Cortés, A. Du, S. Gunay, W. Hassan, P. Heresi, A. C. Lamela, A. Messina, S. Miranda, J. M. Navarro Carranza, J. Padgett, A. Poulos, G. Scagliotti, A. Tsai, T. Kijewski-Correa, I. Robertson, K. Mosalam, D. Prevatt, D. Roueche
StEER
Preliminary virtual reconnaissance assessment of structural, geotechnical, and lifeline performance following the January 7, 2020 Mw 6.4 Puerto Rico earthquake sequence, documenting damage patterns across buildings and critical infrastructure.
Skills & languages
AI & Machine Learning
Agentic & Orchestration Frameworks
Data Engineering & Databases
Software Development
High-Performance Computing
Programming
Languages
Relevant coursework
Stanford University
- CS221Artificial Intelligence: Principles and Techniques
- CS230Deep Learning
- CS229Machine Learning
- CS224WMachine Learning with Graphs
- CS205LContinuous Mathematical Methods with an Emphasis on Machine Learning
- CS231NDeep Learning for Computer Vision
AWS
- Generative AI with LLMs
Honors & awards
Top Reviewer
Conference on Neural Information Processing Systems (NeurIPS).
Best Reviewer Award
NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle.
John A. Blume Fellowship
School of Engineering, Stanford University.
Gere Award
School of Engineering, Stanford University.
The Shah Family Fund Fellowship
School of Engineering, Stanford University.
Nancy Grant Chamberlain Fellowship
School of Engineering, Civil and Environmental Engineering, Stanford University.
Dionisio Garza-Medina Fellowship
School of Engineering, Stanford University.
Nancy Grant Chamberlain Fellowship
School of Engineering, Civil and Environmental Engineering, Stanford University.
Claudio X. González Fellowship
School of Engineering, Stanford University.
Fulbright-García Robles Scholarship
U.S.-Mexico Commission for Educational & Cultural Exchange (COMEXUS).
Distinguished Academic Performance Award
Ceremonia de Reconocimiento a Estudiantes Sobresalientes, CRES 53rd Ed., Universidad de Guadalajara.
Academic Excellence Award
Colegio Metropolitano de Ingenieros Civiles de Jalisco, A.C., COMICIJ.
México Francia Ingenieros Tecnología (MEXFITEC) Fellowship
Secretaría de Educación Pública, SEP.
Programa de Estímulos Económicos a Estudiantes Sobresalientes (PEEES)
Universidad de Guadalajara. Scholarship for high academic performance.
Excellence Scholarship
Secretaría de Educación Pública, SEP. Stipend awarded to high academic performance students.
TELMEX Scholarship
TELMEX. Stipend awarded to high academic performance students.
Talks & conferences
LLMs Show Surface-Form Brittleness Under Paraphrase Stress Tests
NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling · San Diego, U.S.
Simulation of Longitudinal Reinforcing Steel Bar Fracture in Reinforced Concrete Walls
Stanford University — Blume Center 50th Anniversary Celebration · Stanford, U.S.
The Influence of Low-Cycle Fatigue on Collapse of Concrete Shear Walls
18th World Conference on Earthquake Engineering · Milano, Italy
Modeling and Implications of Reinforcing Bar Fracture Due To Low-Cycle Fatigue In Reinforced Concrete Walls
Texas Advanced Computing Center (TACC) — NHERI 2022 SimCenter Symposium · Austin, U.S.
Modeling and Implications of Reinforcing Bar Fracture Due To Low-Cycle Fatigue In Reinforced Concrete Walls
Stanford University — Blume Center and SURI Affiliates and Alumni Meeting · Stanford, U.S.
Modeling and Implications of Reinforcing Bar Fracture Due To Low-Cycle Fatigue In Reinforced Concrete Walls
Berkeley/Stanford — Computational Mechanics Festival (CompFest) · Stanford, U.S.
Academic service
2023 Fulbright Selection Committee
International Conference on Learning Representations (ICLR)
International Conference on Artificial Intelligence and Statistics (AISTATS)
Conference on Neural Information Processing Systems (NeurIPS)
Top Reviewer
Conference on Language Modeling (COLM)
NeurIPS LLM Evaluation Workshop
Best Reviewer Award
NeurIPS UniReps: Unifying Representations in Neural Models
NeurIPS NeurReps: Symmetry and Geometry in Neural Representations
NeurIPS NeuralArtifacts: Neural Network Artifacts as a New Data Modality
ICML Workshop on Theoretical Foundations of Foundation Models (TF2M)
ICML Workshop LXAI
ICML Workshop on Neural Compression: From Information Theory to Applications
ICLR Workshop on Sparsity in LLMs (SLLM)
COLM Workshop AI Measurement Science: Toward Rigorous AI Evaluation
Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) LatinX in Natural Language Processing Research Workshop
Journal of LatinX in AI Research (JLXAI)
LatinX in AI Supercomputing Network Cohort II (LXAISN)
Certifications
Generative AI with Large Language Models
Amazon Web Services, Coursera.
Deep Learning Specialization
DeepLearning.AI, Coursera.
Project Supervisor Seminar. Project management and supervision training.
Colegio de Ingenieros Civiles del Estado de Jalisco (CICEJ), Guadalajara, Mexico.
Making Space Affordable to All Countries
67th International Astronautical Congress (IAC), Guadalajara, Mexico.
Insighter: User-Centered Design
The Innovation Factor Plus, Guadalajara, Mexico.
Campus Party
Technology, innovation and entrepreneurship conference, Guadalajara, Mexico.
Language, Communication and French Culture Training, Level B2
Centre d’Approches Vivantes des Langues et des Medias, CAVILAM-Alliance française, Vichy, France.
French Language
French Institute Alliance Française, Guadalajara, Jalisco
Basic AutoCAD 2013
CAD Soluciones (CAD Center), Guadalajara, Jalisco
Transforming Leadership Regional Program, Leadership and coaching training
Jalisco Government, Guadalajara, Jalisco