Luis Oala | Head of Machine Learning at Dotphoton
- Luis is the Head of Machine Learning at Dotphoton, an image compression solution for professional applications.
- He is a PhD research scientist at the Department of Artificial Intelligence of Wojciech Samek at Fraunhofer HHI in Berlin, Germany.
Podcast
Overview
In a world that revolves around the relentless pursuit of clarity and precision, a trailblazing innovation has emerged to redefine the way we perceive and manipulate visual information. Enter Dotphoton – an extraordinary breakthrough that transcends the boundaries of conventional imaging and unlocks a realm of possibilities previously deemed unattainable. Dotphoton is more than just a tool; it’s a paradigm shift that wields the power to revolutionise industries ranging from photography and art to scientific research and beyond. In this episode, we discuss the vision of Dotphoton along with trends of machine learning in healthcare.
[00:16] – About Luis Oala
- Luis is the Head of Machine Learning at Dotphoton, an image compression solution for professional applications.
- He is a PhD research scientist at the Department of Artificial Intelligence of Wojciech Samek at Fraunhofer HHI in Berlin, Germany.
- Luis co-chairs a group of more than 30 contributors from across the world working on data and AI solution assessment methods at the ITU/WHO Focus Group on Artificial Intelligence for Health.
[13:27] – Please talk about Dotphoton. What does Dotphoton do? [Only for gfx]
- My Ph.D. research consisted of machine learning in healthcare and how to make them more reliable.
- We realised along the journey that you are limited by the degree of access you have to the data generating process.
- In machine learning, we start with an input, then we train the machine learning model for it to produce the results.
- But, as we get it into production, there are often a lot of different failure modes.
- The primary source of failure is changes in the data generating process.
- In order to scale, you need a better degree of certainty about the behaviour of your system.
- You need to look at what happens beyond the machine learning model.
- At Dotphoton, our aim was to connect the machine learning models with the acquisition hardware.
- We ensure data quality and the extraction of value from data.
- We want to be able to access as much as possible along this pipeline so that we can give guarantees and controls.
RESOURCES:
You can connect with Luis Oal : https://luisoala.net/
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Profile
- Luis is the Head of Machine Learning at Dotphoton, an image compression solution for professional applications.
- He is a PhD research scientist at the Department of Artificial Intelligence of Wojciech Samek at Fraunhofer HHI in Berlin, Germany.
- Luis co-chairs a group of more than 30 contributors from across the world working on data and AI solution assessment methods at the ITU/WHO Focus Group on Artificial Intelligence for Health.
