JL / JESÚS LÓPEZ
MECHANICAL & INDUSTRIAL ENGINEERINGSPAIN ↔ USA

Driven to make
things work better.

I see engineering as a way to turn curiosity into something useful.

My experience spans mechanical design, thermal research and digital manufacturing. What connects them is the desire to understand how things work, question what could be better and follow an idea until it proves its value in practice.

For me, excellence comes from caring about the details—and having the patience to keep improving them.

Portrait of Jesús López Menéndez
JESÚS LÓPEZ MENÉNDEZ / ENGINEER
Electric Formula Student car competing on a wet track
ON TRACK / ISC FS RACING TEAM
01 / THE JOURNEY

Built through
experience.

Download full résumé ↗
JAN–DEC 2026 ATLANTA, USA

Georgia Institute of Technology

Graduate Research Assistant

Developing ideal and non-ideal MATLAB models of a Rankine-type electrochemical refrigeration cycle. I study cooling performance, losses and operating limits through parametric and sensitivity analyses.

THERMODYNAMICS / MATLAB / RESEARCH
MAY–DEC 2024 MADRID, SPAIN

Gestamp

Virtual Factory Engineer Intern

Supported application adoption and trained factory teams in the United States, China, Scotland and Spain. Analyzed production data from more than eight manufacturing lines using Power BI and internal platforms.

INDUSTRY 4.0 / DATA / USER TRAINING
SEP 2020–SEP 2024 MADRID, SPAIN

ISC FS Racing Team

Team member → Mechanical Technical Director

Contributed to three electric prototypes and designed the IFS-05 tubular chassis. Progressed through Chassis & Structural and Braking & Steering leadership to coordinating more than 40 team members.

SOLIDWORKS / ANSYS / TECHNICAL LEADERSHIP
ACADEMIC FOUNDATION

Dual master's program · Expected graduation December 2026

2025–2026DUAL MASTER’S PROGRAM

Georgia Institute of Technology

M.S. in Mechanical Engineering

Metz, France → Atlanta, USA · Expected Dec. 2026
GPA4.00/ 4.00
2024–2026DUAL MASTER’S PROGRAM

ICAI · Universidad Pontificia Comillas

Master’s in Industrial Engineering

Madrid, Spain · Expected Dec. 2026
AVERAGE GRADE8.78/ 10
2020–2024UNDERGRADUATE STUDIES

ICAI · Universidad Pontificia Comillas

Bachelor’s degree

Thesis: metallic inserts for a composite Formula Student monocoque · 9.5/10
AVERAGE GRADE7.89/ 10
02 / SELECTED WORK

Ideas put
into practice.

Tubular Formula Student chassis and mechanical systems during assembly01 / VEHICLE DEVELOPMENT

From components
to the whole car.

2020–24

Across three electric prototypes, I progressed from component design to mechanical technical leadership. My work included designing the IFS-05 tubular chassis, coordinating more than 40 team members and driving for the team.

FORMULA STUDENT · SOLIDWORKS · ANSYS
Explore the project +

Component design and manufacturing

I joined Chassis & Structural and began with mounting brackets and component integration. My design work grew to include the accelerator pedal, steering column and electronics enclosures. I contributed to three electric prototypes: IFS-04, IFS-05 and IFS-06.

Our design and analysis work used SolidWorks and ANSYS. I also participated in manufacturing, with the team carrying out 3D printing, composite layup, welding and machining.

Designing the IFS-05 chassis

I designed the tubular chassis from scratch and directed the wider chassis, steering and suspension redesign. The reported chassis improvements were a 25% increase in torsional stiffness, reaching 3,750 Nm/deg, and a 1.55 kg reduction in mass. The wider vehicle redesign reduced the minimum turning radius by 35%.

+25%Chassis torsional stiffness
−1.55 kgChassis mass

Mechanical technical leadership

I led Chassis & Structural and Braking & Steering before becoming Mechanical Technical Director. My responsibilities grew from coordinating a department of six to more than 40 team members: setting mechanical objectives, guiding designs and reviewing the work across the car.

For the IFS-06, I supervised redesigns that delivered a 5% lower center of gravity, a 30% lighter seat, a steering rack that was 1.8 kg lighter, and a transmission attachment with 63% lower maximum stress without added weight. These were team results under my technical supervision.

Competition and pilot role

I also drove for the team. During my four seasons, our collective achievements included the team's first fully functional prototype, seventh place overall at Formula Student Spain and its debut at Formula Student Germany.

Schematic of the Rankine-type electrochemical refrigeration cycle02 / THERMAL RESEARCH

A different
route to cooling.

2026

At Georgia Tech, I develop MATLAB models of a Rankine-type electrochemical refrigerator to evaluate cooling capacity, efficiency and operating limits.

ENERGY SYSTEMS · THERMODYNAMICS · MATLAB
Explore the research +

Why sustainable cooling matters

Cooling is becoming an increasingly important energy challenge. As access expands, meeting demand while limiting electricity use and emissions requires more efficient equipment and the development of alternative technologies. The IEA’s The Future of Cooling (2018) highlights both the pressure that cooling places on electricity systems and the potential of efficiency improvements.

This need motivates my research into electrochemical refrigeration. I want to understand whether heat exchanged during electrochemical reactions can support a useful refrigeration cycle, and what would have to improve for that approach to become practical.

A Rankine-type electrochemical cycle

The concept uses the reversible thermal effects associated with redox reactions in a circulating electrolyte. The cycle combines temperature elevation, heat rejection, a multistage expansion branch and cold-side heat absorption. My study evaluates how these stages can be connected into a thermodynamically consistent cycle.

Cycle modeling in MATLAB

As a Graduate Research Assistant, I develop ideal and non-ideal thermodynamic models of a Rankine-type electrochemical refrigeration cycle. I calculate the cooling capacity, electrical input and coefficient of performance, and identify the conditions under which the cycle can operate.

Losses and operating limits

The non-ideal model accounts for voltage losses, Faradaic efficiency, finite heat transfer and pumping power. I run parametric and sensitivity analyses to assess how these effects change the cooling performance and feasible operating window.

The project is a numerical feasibility study. It identifies the conditions under which the architecture can provide cooling and the losses that limit its performance. A sustainable alternative must ultimately demonstrate efficiency, practical materials and useful performance; the models establish an initial basis for assessing that potential.

Gestamp exhibition showing automotive body structures and digital manufacturing technology03 / DIGITAL MANUFACTURING

Digital tools.
Real manufacturing.

2024

I supported the adoption of Industry 4.0 applications across Gestamp plants in Europe, Asia and the United States, combining user training, production-data analysis and application support.

GESTAMP · POWER BI · VQM · VWF
Explore the experience +

Why Industry 4.0 matters

For me, the value of Industry 4.0 lies in helping factories understand their operations and decide what to improve. Production data becomes useful when teams can interpret it, recognize problems and use that information in their daily work. Getting the software into a plant is only one part of that process; people also need to know how to use it.

My role at Gestamp focused on that adoption step. I helped plant teams work with digital manufacturing applications, connecting the tools with the operational questions they needed to answer.

Application adoption across plants

As a Virtual Factory Engineer Intern, I supported plants in the United States, China, Scotland and Spain. I trained users on the applications, explained how to make use of the available data and worked on reporting and resolving the bugs they encountered.

Data analysis and continuous improvement

I used Power BI and Gestamp’s internal VQM and VWF platforms, analyzing production data from more than eight manufacturing lines to monitor application adoption, identify operational issues and support continuous improvement.

The aim was to help teams use their data to make better decisions about manufacturing operations. My contribution combined analysis with training and application support: helping people understand the tools and addressing the issues that limited their use.

8+Manufacturing lines analyzed
3Continents supported
1987 Talbot Horizon prepared for UNIRAID beside sand dunes in Morocco04 / ENGINEERING & SOLIDARITY

An old car.
A shared purpose.

2025

Álvaro Monzón and I rehabilitated a 1987 Talbot Horizon for a week-long solidarity rally in Morocco, adapting the car for desert conditions and delivering supplies to isolated communities.

UNIRAID · VEHICLE PREPARATION · TEAMWORK
Explore the journey +

A rally with a purpose

UNIRAID gave us a reason to put our mechanical skills toward something beyond the car itself. Álvaro Monzón and I took part in the February 2025 rally carrying toys, medical supplies, educational materials and food to isolated communities in the Sahara. Delivering those supplies was a central purpose of the journey.

Preparing a nearly 40-year-old car

Our vehicle was a 1987 Talbot Horizon—38 years old at the time of the rally. Preparing it for a week in the Moroccan desert meant rehabilitating an ageing car and adapting it to a route very different from ordinary road use.

We both worked on the rehabilitation and modifications, including changes to the suspension and wheels, stripping the interior and fitting a reinforced sump guard. The preparation combined mechanical work with decisions about what the car would need to complete the route.

Keeping the car moving

The challenge continued during the rally. A desert route in a car of that age demanded attention to its condition and a willingness to deal with problems as they arose. We experienced a radiator failure and had to resolve it during the journey.

We completed the week-long route, sharing the mechanical work throughout preparation and the rally. For me, the experience connected a long-standing passion for cars with a practical contribution to others: getting both the vehicle and the supplies to their destination.

03 / THE PERSON BEHIND THE WORK

Passion for engineering.
Care for the details.

WHAT DRIVES ME

Excellence, to me, is not a single achievement. It is the standard I bring to the work: asking better questions, caring about the details and staying with a problem until the solution earns its place in the real world.

Jesús López Menéndez

I'm Jesús, a Spanish engineer completing a dual master's program at Georgia Tech and ICAI.

The pursuit of excellence is the common thread in everything I do. I see it as a commitment to understanding the problem, doing the work carefully and continuing to improve the result. That standard applies equally to a design, a research model and my studies.

Cars have fascinated me since childhood, and designing them remains a personal ambition. Formula Student allowed me to take that interest into the workshop: designing components, contributing to the build and driving the car.

I am most motivated by finding a solution and demonstrating that it works. I want to contribute across design, simulation, testing and manufacturing, with the same attention to a small component as to the performance of the complete system.

I have pursued these projects alongside my academic studies, maintaining a strong academic record while taking on design, manufacturing and leadership responsibilities. My current results include a 4.00/4.00 GPA at Georgia Tech and an 8.78/10 average in my master’s at ICAI. The Community of Madrid Excellence Scholarship and Repsol Technology Promotion Scholarship are also part of that journey.

Leading a team also changed how I approach engineering. Defining objectives, reviewing designs and helping others move their work forward became part of the job, alongside my own technical contributions.

My research has given me a different perspective: a promising idea still needs to stand up to its assumptions, losses and practical limits. I want to bring that combination of ambition and careful analysis into my next role, working on systems that are useful and can improve over time.

TOOLS I WORK WITH
SolidWorks Mechanical designANSYS Mechanical / Fluent Structural & fluid analysisMATLAB Thermodynamic modelingPower BI Production data
PROFESSIONAL INTERESTS

Where I want
to contribute.

01 / ENERGY

Energy

Energy is central to how we live and what we can build. I want to improve existing processes and work on technologies that remain useful and sustainable in the long term.

02 / AUTOMOTIVE

Automotive

My ambition is to design cars. There is a lot to improve in efficiency and sustainability, and I want to help make those improvements while keeping what makes a car enjoyable to drive.

03 / DEFENSE

Defense

I’m interested in the combination of mechanical performance, precision and responsibility. I would like to contribute my engineering skills to systems that help protect people.

04 / PRESS & RECOGNITION

A few moments
along the way.

Jesús in his Formula Student cockpit wearing a helmetLA NUEVA ESPAÑA / 2023

My Formula Student experience
in the local press.

La Nueva España featured my involvement in Formula Student. A piece of my engineering journey, told from my hometown of Oviedo.

Read the article · Spanish ↗
Comunidad de Madrid logoCOMUNIDAD DE MADRID / 2021

Academic Excellence Scholarship

Recipient of the Community of Madrid Excellence Scholarship in 2021.

05 / WRITING

What I’m
thinking about.

There are a few subjects I keep coming back to.

Where the car industry is heading. How energy shapes geopolitics. Which new technologies are worth pursuing. I also want to write about how we think and make decisions.

Technology & industryEnergy & geopoliticsPerspectives
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ENGINEERING & AI 10 SEPTEMBER 2026 · 4 MIN READ

Navier–Stokes May Have Been Solved.
What Does That Actually Change for Engineering?

OpenAI claims to have solved one of the greatest mathematical problems in history, potentially changing fluid dynamics forever. Or perhaps not.

The Event

On September 8, humanity woke up to what appeared to be one fewer Millennium Prize Problem left to solve. OpenAI—which counts Microsoft among its shareholders and key technology partners—announced that one of its internal models had demonstrated the formation of a singularity in the three-dimensional Navier–Stokes equations.

The result was reached after approximately 88 hours of coordinated work involving around 10,000 artificial intelligence agents. OpenAI claims to have shown that an initially smooth solution can develop a singularity in finite time. The proof still needs to be examined and accepted by the mathematical community. Separately, the Clay Mathematics Institute requires at least two years after publication before considering a proposed solution for its prize.

Therefore, we cannot yet consider the problem definitively closed. We can, however, consider it an event that raises an important question: what might this change for engineering?

10,000AI agents
88 hCoordinated work
17 hFormalization & verification

Figures reported by OpenAI in its September 8 announcement.

Will It Change Fluid Dynamics as We Know It?

This is probably one of the first questions that comes to an engineer’s mind. The immediate answer, however, is simple: no.

The Millennium Prize Problem asks whether an initially smooth solution will always remain smooth or whether it can develop a singularity. An industrial simulation addresses a different question: how a fluid behaves around a particular geometry or inside a system under a given set of conditions.

Answering that question requires engineers to define the geometry, mesh, fluid properties, boundary conditions and turbulence models, among many other parameters. The new proof does not provide a universal formula—the holy grail of fluid dynamics. Instead, it constructs a mathematical case in which the equations develop a singularity.

THE MATHEMATICAL QUESTION

Can smooth motion break down?

A rigorous statement about the equations under specified assumptions.

THE ENGINEERING QUESTION

How does this system perform?

A numerical prediction for a particular geometry and operating conditions.

Solving a fundamental property of the equations is not the same as solving every problem described by them.

So What Does This Mean for Industry?

The tools engineers use every day to predict fluid behaviour will not change immediately. We will continue to use RANS, LES and other models. Mesh quality will remain decisive, and validation through wind tunnels, test rigs and physical prototypes will still be necessary.

Something else, however, may already have changed: the way research is organized.

A problem whose mathematical foundations can be traced back to Jean Leray’s work in 1934 has been approached through a combination of massive exploration, human direction and formal verification. While thousands of AI agents investigated different strategies, human researchers connected the most promising results, guided the different lines of work and checked the consistency of the proposed solution.

This model could transform engineering research. AI agents may eventually explore thousands of concepts, compare alternatives, optimize designs, identify errors and propose experiments. Engineers would then be responsible for formulating the right problems, establishing their physical limits, identifying which proposals have real value and taking responsibility for the final decision.

The transformation will not be immediate. The process required extraordinary computing capacity and models that are not yet publicly available. Nevertheless, the precedent has now been established.

An Engineer’s Perspective

Personally, I believe this event confirms something we have been witnessing for several years: artificial intelligence is here to stay, and its future is as frightening as it is exciting.

Beyond the possible resolution of a problem that had remained open for almost a century—and that none of the great minds of our recent history had managed to close—this development represents a turning point in the way we work. Today, nobody in my circle—or at least nobody I know—approaches certain tasks without consulting AI, asking it to review their work or using it to generate new ideas.

We are entering a period in which AI will stop being an occasional tool and become another participant in the chain of work. It will not replace an engineer’s judgment or responsibility, but it will change how we explore alternatives, analyze problems and develop solutions.

I firmly believe that this transformation can be highly beneficial for industry if it is used wisely. Collaboration between artificial intelligence, formal verification and human judgment represents the future of industrial development.

For better or worse, our future is written in ones and zeros.
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