I train AI models to obey the laws of physics, turning simulations that take hours into predictions that run in milliseconds.
CHOOSE YOUR PATH ↓I train AI models to obey the laws of physics, turning simulations that take hours into predictions that run in milliseconds.
CHOOSE YOUR PATH ↓Two bodies of work. Pick the one you came for - or keep scrolling through both.
AI models trained to obey the laws of physics, in place of slow, expensive simulation. Starts with my roles: I lead the PINN team at FANAP's ZLab, then the research projects.
Physics instruction and university teaching assistance - interactive, intuition-first STEM education.
I work in scientific machine learning: building AI models that do not just fit data, but are trained to obey the governing equations of physics. In practice, that means encoding equations like Navier-Stokes (fluid flow), elasticity, and heat transfer directly into how a neural network learns, so its predictions stay physically realistic even where data is scarce. Around that core sits data-driven fluid mechanics, finite element analysis, and sustainable energy systems.
The particles on this page trace a Lorenz attractor, a classic chaotic system, running in real time. It felt like a fitting touch: simulation is not just something I study, it is something I build.
The positions I have held, most relevant first. I currently lead the PINN team at FANAP's Advanced Technologies Lab; before that came learning design, digital product work, creative direction and data analysis. Every role opens into its own page with what I did and how.
Instructional design for physics and mathematics - building teaching methods and interactive, browser-based labs that let students learn STEM by running real experiments rather than memorizing.
Owned the digital and product work behind Mana Battery's solar-and-storage offering - turning customer requirements into practical web software - and built AI systems that automate content creation.
Forecasting, scoring and costing for a company with 150+ customers and 80+ products, where customers order anywhere from twice a week to once a month and from 10 kg to a full container.
Led Mana Battery's visual identity and creative direction across the brand's marketing and product communication.
Research and engineering projects, newest first. Each entry is collapsed to its headline and keywords; expand any card to read the abstract and exactly what I contributed.
A structural optimization framework that couples quantum sampling with classical metaheuristics and finite element analysis to search large truss design spaces more efficiently than either approach alone.
A high-efficiency algebraic multigrid solver for the large sparse linear systems that arise when discretizing three-phase computational fluid dynamics, targeting both accuracy and throughput.
A shaker-table test rig whose platform motion, cam geometry, and contact forces are derived from the governing equations - plus the signal-processing tools built alongside it. Each result grounded in the underlying mathematics rather than off-the-shelf tooling.
Physics instruction and university teaching assistance - intuition-first, hands-on and interactive. Two roles, each with a full interactive case study.
Designed and taught advanced physics for high-ability students through camps, challenge exams, and interactive lessons built to reward deep understanding over memory.
Led the problem-solving and doubt-clearing sessions for Design of Machine Elements I, curated the clearest explainer videos for each topic, and built interactive simulations for stress analysis.
School of Science and Technology. Advanced computational methods for renewable energy - power systems, fluid dynamics, and data-driven modeling for the wind, hydro, and solar generation industries.
Ranked 1st of 120 students - GPA 18.77/20. Active member of the departmental scientific association.
I am always open to discussing research collaborations in scientific machine learning, PINN and PDE modeling, engineering analysis, and new opportunities in energy and computational mechanics.