I have been the Head of Data Science at a startup and am currently run data science at a large corporation. My work spans academia and industry. I am experienced as both an IC and a leader in the Data Science/Machine Learning/Artificial Intelligence space. I work on big data problems, forecasting and predictive analytics and simulation.
I have a PhD in Computer Science and Civil Engineering. I have a strong interest in simulation (real time and physics simulations) and was for a time a Research Fellow in a top-level mathematics department where I worked on Bayesian probability.
Some of my work is visible on my website, www.dkgrdatasystems.com.
While I am very interested and experienced in R&D I also work on production systems. I have extensive experience in both SaaS and hardware products.
I have been the Head of Data Science at a startup and am currently run data science at a large corporation. My work spans academia and industry. I am experienced as both an IC and a leader in the Data Science/Machine Learning/Artificial Intelligence space. I work on big data problems, forecasting and predictive analytics and simulation.
I have a PhD in Computer Science and Civil Engineering. I have a strong interest in simulation (real time and physics simulations) and was for a time a Research Fellow in a top-level mathematics department where I worked on Bayesian probability.
Some of my work is visible on my website, www.dkgrdatasystems.com.
While I am very interested and experienced in R&D I also work on production systems. I have extensive experience in both SaaS and hardware products.
I am an experienced consultant who works to convert hard, tech related research problems into deliverable products and, ultimately, ROI for your business.
I have worked extensively in industry and in academia. I mainly work in Data Science/AI/ML but am flexible.
Some examples:
- My PhD combined Machine Learning and AI with scientific computing techniques (e.g. Finite Element Analysis) and probability theory.
- I have built and delivered full stack applications (e.g. React and FastAPI) for Data Science applications.
- I have worked extensively on real time 3D software for games and other interactive simulations.
- I have helped to deliver an AI strategy and roadmaps, translating what is possible into realistic deliverables.
Some areas I have worked in that may interest you:
Time series forecasting, time series anomaly detection, Computer vision, Finite element analysis, 3D modelling and simulation, Probability and information theory, Neural Networks
Some of my tech: Python (e.g. Numpy, Tensorflow, FastAPI), C, C++, C#, Java, Databases (SQL, NoSQL), Web Development (React, Javascript, HTML, CSS), Node, Cloud (Azure, AWS, Docker)
I don’t know how they did it, but a doctor surgery near me (UK) had a large number of negative reviews up for several years. About one week ago, I looked and they now have one single 5 star review. So, anecdotally, there is at least some way to get the reviews removed.
The idea (how to organise society if you won’t know your position within it) is discussed extensively by philosopher John Rawls. It is called either the “Original Position” or “veil of ignorance” thought experiment. The idea itself goes a little further back, as discussed in the linked wiki article.
I think part of it (as some other comments have alluded to) is that maybe the low quality production brings the kids closer to it because they feel like they could possibly build something if they wanted to. Or that someone like them built the game they are playing. It’s perhaps more relatable than some ultra polished AAA title.
Not even just a feeling - they really can build these experiences themselves. I just watched our 5-year old kitbash together a city full of cars in about 4 hours, which is now online for anyone to visit.
I find the platform very appealing even as an adult, as you can script in Lua, and then watch as hundreds of visitors interact with what you just wrote. This week I hacked the Bad Apple music video to run on Roblox, and then had a great time seeing people react to it.
Rather than a large number of people painting it for a small period of time, which requires a startup and close down overhead; they have instead resourced it so that they can keep a small number of people employed permenantly who accumulate expertise and minimise the mobilisations costs.
Agreed, but it is still more expensive in terms of direct costs than ‘do nothing’ which seems to be the case for the telescope.
Whoever downvoted me, thanks a bunch. Not sure why.
Running a team of painters still costs more than nothing. The cost of painting doesn’t cover the cost of ongoing inspections for metal fatigue etc etc. Engineering reviews, government oversight and so on.
Large bridges, especially with vehicle traffic, vibrate quite a lot and this is causes major ongoing concerns with fatigue, which means extensive monitoring along with the painting. More costs (not saying it’s unjustified).
Keeping a team going is efficient as you say, but more expensive than nothing.
Telescopes are not typically "do nothing. I am not aware of the details of Arecibo, but the big telescope in Greenbank has a paint crew work for 8 hours a day for multiple weeks each summer. And after several years the entire telescope is repainted and they start all over from the beginning. During the day time hours when the paint crew the is working the telescope can not be moved to point at objects, but is still taking data in the form of drift scans, recording whatever passes through the field of view of the telescope. A whole bunch of pulsars has been found that way.
Probably not to different from refactoring the same CRUD applications over and over to keep up with with the other poor bastards who had to do it first.
That’s a pretty bad analogy because you don’t refactor for maintenance. A better equivalent would be swapping out hard drives in a major storage system or servers in a data center on the scale of Google. It’s mind numbing work but it’s better than many other “pick and place” style manual labor. At least with painting a bridge the scenery is better although the temperature is more harsh.
Paint is preventative maintenance. It's a lot cheaper in the long run than not painting at all.
For those that don't know, paint should be considered a non-optional component of most iron or steel objects, since paint serves the important role of preventing rust formation. It's less important in most uses of aluminum, since aluminum oxide tends to form a protective layer instead of flaking away.
"Painting the Forth Bridge" is an expression in these parts describing a never ending task. However, with better pain this is apparently not the case anymore:
Location: London, UK Remote: Preferred
Willing to relocate: Probably not, but am willing to discuss.
Technologies: My main tech stack is: Python, C++, HTML/CSS, React but the full list is extensive.
Resume/CV: https://www.dkgrdatasystems.com/pdfs/DKEGreen-CV-2023.pdf
Linkedin: https://www.linkedin.com/in/dr-david-k-e-green-823180134/
Website: www.dkgrdatasystems.com
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I have been the Head of Data Science at a startup and am currently run data science at a large corporation. My work spans academia and industry. I am experienced as both an IC and a leader in the Data Science/Machine Learning/Artificial Intelligence space. I work on big data problems, forecasting and predictive analytics and simulation.
I have a PhD in Computer Science and Civil Engineering. I have a strong interest in simulation (real time and physics simulations) and was for a time a Research Fellow in a top-level mathematics department where I worked on Bayesian probability.
Some of my work is visible on my website, www.dkgrdatasystems.com.
While I am very interested and experienced in R&D I also work on production systems. I have extensive experience in both SaaS and hardware products.