Over the past few months I have been building an end-to-end software platform for managing crusher liner wear in minerals processing, working as a consultant for a mining equipment services company. It has been one of the most technically demanding projects I have taken on.
This week’s biggest change wasn’t technical – it was narrative. I restructured six industry portfolio entries to lead with business impact instead of algorithms. The shift reflects a real career evolution: from implementing models to owning their business outcomes.
I presented our work “Geometallurgical Estimation from Hyperspectral Images and Topic Modelling” at the 18th International Conference on Mineral Processing and Geometallurgy (Procemin 2022). Procemin is the premier international conference for mineral processing in Latin America, bringing together researchers and practitioners from across the global mining industry to discuss advances in geometallurgy, comminution, flotation, and process optimization.
Over the past few months I have been building an end-to-end software platform for managing crusher liner wear in minerals processing, working as a consultant for a mining equipment services company. It has been one of the most technically demanding projects I have taken on.
I presented our work “Geometallurgical Estimation from Hyperspectral Images and Topic Modelling” at the 18th International Conference on Mineral Processing and Geometallurgy (Procemin 2022). Procemin is the premier international conference for mineral processing in Latin America, bringing together researchers and practitioners from across the global mining industry to discuss advances in geometallurgy, comminution, flotation, and process optimization.
After years of research, our paper “Sampling Strategies for Uncertainty Reduction in Categorical Random Fields” has been published in Mathematical Geosciences. Read the paper (DOI).
I presented our work “Geometallurgical Estimation from Hyperspectral Images and Topic Modelling” at the 18th International Conference on Mineral Processing and Geometallurgy (Procemin 2022). Procemin is the premier international conference for mineral processing in Latin America, bringing together researchers and practitioners from across the global mining industry to discuss advances in geometallurgy, comminution, flotation, and process optimization.
After years of research, our paper “Sampling Strategies for Uncertainty Reduction in Categorical Random Fields” has been published in Mathematical Geosciences. Read the paper (DOI).
This week’s biggest change wasn’t technical – it was narrative. I restructured six industry portfolio entries to lead with business impact instead of algorithms. The shift reflects a real career evolution: from implementing models to owning their business outcomes.
In 2012, I started working on Super-resolution Optical Fluctuation Imaging at SCIAN-Lab, Universidad de Chile, collaborating remotely with researchers at the III Physics Institute of the University of Gottingen in Germany. Working across continents and time zones with the Gottingen team was both challenging and exhilarating – SOFI was a relatively new technique at the time, and there was limited local expertise in Chile to draw on. Every implementation decision, from the cumulant computation pipeline to the deconvolution strategy, required careful coordination through emails and video calls, often debugging numerical issues with a six-hour time difference. The goal was to implement SOFI from the ground up – cumulant computation, synthetic quantum dot simulators, deconvolution – and apply it to biological samples. After months of work, we achieved the first successful SOFI super-resolution imaging in Chile, resolving structures below the diffraction limit using nothing more than temporal statistics from blinking fluorescent emitters. The pride of being the first group in Chile to produce these results was immense – it proved that cutting-edge computational optics could be done here, not just in European labs with larger budgets and established traditions in the field. That work contributed to a publication at SPIE Photonics West, presenting the cumulant-based framework and validation results.
Modernizing eight research codebases at once sounds like a terrible idea, and some weeks it feels like one. But working across optics, biophysics, robotics, and geostatistics in parallel has surfaced a pattern: the same three engineering challenges keep showing up in every domain, wearing different clothes.
Modernizing eight research codebases at once sounds like a terrible idea, and some weeks it feels like one. But working across optics, biophysics, robotics, and geostatistics in parallel has surfaced a pattern: the same three engineering challenges keep showing up in every domain, wearing different clothes.
In 2012, I started working on Super-resolution Optical Fluctuation Imaging at SCIAN-Lab, Universidad de Chile, collaborating remotely with researchers at the III Physics Institute of the University of Gottingen in Germany. Working across continents and time zones with the Gottingen team was both challenging and exhilarating – SOFI was a relatively new technique at the time, and there was limited local expertise in Chile to draw on. Every implementation decision, from the cumulant computation pipeline to the deconvolution strategy, required careful coordination through emails and video calls, often debugging numerical issues with a six-hour time difference. The goal was to implement SOFI from the ground up – cumulant computation, synthetic quantum dot simulators, deconvolution – and apply it to biological samples. After months of work, we achieved the first successful SOFI super-resolution imaging in Chile, resolving structures below the diffraction limit using nothing more than temporal statistics from blinking fluorescent emitters. The pride of being the first group in Chile to produce these results was immense – it proved that cutting-edge computational optics could be done here, not just in European labs with larger budgets and established traditions in the field. That work contributed to a publication at SPIE Photonics West, presenting the cumulant-based framework and validation results.
After years of research, our paper “Sampling Strategies for Uncertainty Reduction in Categorical Random Fields” has been published in Mathematical Geosciences. Read the paper (DOI).
Over the past few months I have been building an end-to-end software platform for managing crusher liner wear in minerals processing, working as a consultant for a mining equipment services company. It has been one of the most technically demanding projects I have taken on.
This week’s biggest change wasn’t technical – it was narrative. I restructured six industry portfolio entries to lead with business impact instead of algorithms. The shift reflects a real career evolution: from implementing models to owning their business outcomes.
After years of research, our paper “Sampling Strategies for Uncertainty Reduction in Categorical Random Fields” has been published in Mathematical Geosciences. Read the paper (DOI).
In 2012, I started working on Super-resolution Optical Fluctuation Imaging at SCIAN-Lab, Universidad de Chile, collaborating remotely with researchers at the III Physics Institute of the University of Gottingen in Germany. Working across continents and time zones with the Gottingen team was both challenging and exhilarating – SOFI was a relatively new technique at the time, and there was limited local expertise in Chile to draw on. Every implementation decision, from the cumulant computation pipeline to the deconvolution strategy, required careful coordination through emails and video calls, often debugging numerical issues with a six-hour time difference. The goal was to implement SOFI from the ground up – cumulant computation, synthetic quantum dot simulators, deconvolution – and apply it to biological samples. After months of work, we achieved the first successful SOFI super-resolution imaging in Chile, resolving structures below the diffraction limit using nothing more than temporal statistics from blinking fluorescent emitters. The pride of being the first group in Chile to produce these results was immense – it proved that cutting-edge computational optics could be done here, not just in European labs with larger budgets and established traditions in the field. That work contributed to a publication at SPIE Photonics West, presenting the cumulant-based framework and validation results.
I presented our work “Geometallurgical Estimation from Hyperspectral Images and Topic Modelling” at the 18th International Conference on Mineral Processing and Geometallurgy (Procemin 2022). Procemin is the premier international conference for mineral processing in Latin America, bringing together researchers and practitioners from across the global mining industry to discuss advances in geometallurgy, comminution, flotation, and process optimization.
Modernizing eight research codebases at once sounds like a terrible idea, and some weeks it feels like one. But working across optics, biophysics, robotics, and geostatistics in parallel has surfaced a pattern: the same three engineering challenges keep showing up in every domain, wearing different clothes.
Over the past few months I have been building an end-to-end software platform for managing crusher liner wear in minerals processing, working as a consultant for a mining equipment services company. It has been one of the most technically demanding projects I have taken on.
This week’s biggest change wasn’t technical – it was narrative. I restructured six industry portfolio entries to lead with business impact instead of algorithms. The shift reflects a real career evolution: from implementing models to owning their business outcomes.
Modernizing eight research codebases at once sounds like a terrible idea, and some weeks it feels like one. But working across optics, biophysics, robotics, and geostatistics in parallel has surfaced a pattern: the same three engineering challenges keep showing up in every domain, wearing different clothes.