Who I am
I work across quant research, product engineering, and education because they solve different parts of the same problem: turning knowledge and evidence into more capability, better decisions, and more options.
About me
Building more optionality through learning, technology, and systems.
I'm Jan Gómez Escobar, a Computational Mathematics student, builder, and researcher at UAB in Barcelona, currently on exchange at Macquarie University in Sydney. I move between quantitative research, full-stack engineering, and teaching because each can help people build more capability and choice.
What drives me
The thread through my work is optionality. Education builds skills, software creates leverage, and research helps people reason under uncertainty. Together, they can widen access to useful tools and better choices.
How I work
I build infrastructure carefully, test assumptions out of sample, call out lookahead bias, and explain technical ideas so people can use them to make better decisions.
The journey so far
A path with a few useful detours.
Education
Started a B.Sc. in Computational Mathematics at UAB
I chose a degree that lets me move between theory, code, and the messy problems in between: the foundation for building better tools and decisions.
Research
Founded Spinortechnologies
I started an independent quant research group to read papers carefully, test assumptions, and document strategy design in public.
Teaching
Began self-employed tutoring in mathematics and programming
Teaching one-to-one showed me how quickly difficult ideas become useful when they are explained from the learner's starting point, creating more paths forward.
Teaching
Joined IT Academy Barcelona as an instructor
I work with more learners and keep refining the explanations that turn technical concepts into practical capability.
Research
Researched numerical methods for real options valuation
I explored how numerical methods can make decisions under uncertainty less abstract, more explicit, and more actionable.
Engineering
Founded and built RealAutoSolution
I built a multi-tenant incident-management SaaS so tenants can report problems directly and see the process move with less friction.
Research
Studied statistical arbitrage and mean reversion
I investigated cointegration-driven pairs trading and Kalman filtering without hiding the assumptions behind the results or the limits of the evidence.
Research
Developed bootstrap methods for financial risk management
I used bootstrap methods for VaR research because risk estimates should show their uncertainty and support better decisions, not just one impressive number.
Education
Exchanged to Macquarie University in Sydney
I am now focusing on quantitative finance, quantitative risk, econometrics, and derivatives in a new academic environment that broadens my perspective.
Community
Joined the Macquarie University Debating Society
I am practicing the human side of technical work: listening closely, thinking under pressure, and making an argument clear.
Areas of interest & research
Technology, education, and systems should expand what people can do.
AI in education
Education systems should help people turn knowledge into capability, with useful explanations available when they need them.
Quantitative risk and market access
Quantitative risk modelling can make uncertainty visible and help more people make informed decisions about opportunity and access.
Full-stack architecture and data security
Software should reduce friction and protect users by design, from database-level Row-Level Security to the last interface they touch.
Distributed and serverless systems
Reliable edge and serverless infrastructure can make useful tools cheaper to run and easier to reach.
Open-source and open-research tooling
Sharing the tools and reasoning behind a result lets other people learn, verify, and build on it, increasing collective leverage.
Applied machine learning
Projects such as KNN and K-Means image categorisation keep machine learning grounded in practical tools that expand what people can do.
Beyond code
The parts of life that don't fit on a CV.
Tutoring keeps me close to how people actually learn: their incentives, constraints, and the explanations that help them act. Street fundraising for an NGO taught me to listen, understand motivation, and keep communicating after a no. Debate at Macquarie sharpens my ability to reason with competing views, while studying economics helps me think about incentives, trade-offs, and access to opportunity. These experiences are not separate from my technical work; they keep it grounded in people and the choices systems create.