Hi, I am Juan Palomeque Gonzalez
Archaeologist and data scientist working across computational archaeology, computer vision, and data driven research.
I combine archaeological research with computing and data driven methods. My work spans geometric morphometrics, taphonomy, statistical modelling, machine learning, and low cost IoT and electronic DIY systems for heritage monitoring and archaeological research.
I am passionate about open science, reproducible research, and developing tools and pipelines that facilitate robust and transparent archaeological research.
Alongside my academic work, I am a data analyst in the payments and financial technology sector, where I work with large scale data, reproducible pipelines, and applied analytics.
Research focus
I work at the intersection of archaeology, data science, and computing, with a focus on geometric morphometrics, statistical analysis, and digital archaeology. My research centres on building reproducible computational workflows and applying statistical modelling, computer vision, and machine learning methods to archaeological data.
Technical work
I develop computational pipelines, tools, and datasets across archaeology and data science, with a focus on computer vision and image processing, machine learning experiments, IoT prototyping, and reproducible data engineering workflows.
Collaboration and community
I enjoy collaborating across disciplines, building open tools, and engaging with research and developer communities. I am particularly interested in projects that combine archaeology, data science, and computing, and in practical work that leads to reusable methods, datasets, and shared infrastructure.