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Peter Cotton
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Denny S. Fernández liked Peter Cotton's blog post A Fundamental Theorem for Epidemiology
Jul 19
Andy Johnston liked Peter Cotton's blog post A Fundamental Theorem for Epidemiology
May 28
Andy Johnston liked Peter Cotton's blog post A Fundamental Theorem for Epidemiology
May 28
Peter Cotton's blog post was featured

A Fundamental Theorem for Epidemiology

The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling.That's because models that try to replicate reality in all its detail have proven hard to steer during this crisis, leading to poor predictions despite noble and urgent efforts to recalibrate them. On the other hand overly stylized compartmental models have run headlong into paradoxes such as Sweden's herd immunity.…See More
May 28
Scott Crutchfield-Rogers liked Peter Cotton's profile
May 8
Scott Crutchfield-Rogers liked Peter Cotton's discussion Donate your spare CPU cycles to build a better pandemic model.
May 8
Peter Cotton posted a discussion

docker run xtellurian/pandemic

Just a note to say that the Python pandemic library is now dockerized so if you want to help with Swarm Prediction it is even easier. docker run xtellurian/pandemicSee More
Apr 30
Peter Cotton posted a discussion
Apr 19
Peter Cotton posted a blog post

An Ornstein-Uhlenbeck model for pandemics. (pip install pandemic)

This is a longer form followup to my post describing the open source pandemic package on PyPI (with Python code also available on Github). You can use the code to simulate millions of people moving about in two dimensions, crossing paths and, unfortunately, getting sick.This video illustrates the dynamic with a toy sized town of fifty people. Watch how transmission takes place. You might even discern commuting and households. theTheThe package implements an agent based model, which is to say…See More
Apr 14
Peter Cotton's blog post was featured

An Ornstein-Uhlenbeck model for pandemics. (pip install pandemic)

This is a longer form followup to my post describing the open source pandemic package on PyPI (with Python code also available on Github). You can use the code to simulate millions of people moving about in two dimensions, crossing paths and, unfortunately, getting sick.This video illustrates the dynamic with a toy sized town of fifty people. Watch how transmission takes place. You might even discern commuting and households. theTheThe package implements an agent based model, which is to say…See More
Apr 13
Peter Cotton was featured
Apr 13
Peter Cotton commented on Rohan Kotwani's blog post New Algorithm For Density Estimation and Noise Reduction
"Interesting approach. I'm going to use this to enter a density contest prediction here."
Apr 13
Peter Cotton commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"Nice exposition. Thanks. Of course there are some issues with assuming a representative agent. See this post for some discussion of population density etc and simulations using pandemic on PyPI. I'll follow up with a blog…"
Apr 13

Profile Information

Company:
Intech Investments
Job Title:
Senior Vice President, Chief Data Scientist
Seniority:
Manager
Job Function:
Data Science, Machine Learning, AI, Business Analytics
Industry:
Finance
Short Bio:
Intech Investments. Formerly J.P. Morgan Chase, Morgan Stanley. Founded Benchmark Solutions sold to Bloomberg (BBG:BMRK). Ph.D. Mathematics, Stanford University 2001.
LinkedIn Profile:
http://www.linkedin.com/in/petercotton/
Interests:
Networking

Peter Cotton's Blog

A Fundamental Theorem for Epidemiology

Posted on May 28, 2020 at 5:30am 0 Comments

The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling.

That's because models that try to replicate reality in all its detail have proven hard to steer during this crisis, leading to poor predictions despite noble and urgent efforts to recalibrate them. On the other hand overly stylized compartmental models have run headlong into paradoxes such as Sweden's herd immunity.…

Continue

An Ornstein-Uhlenbeck model for pandemics. (pip install pandemic)

Posted on April 13, 2020 at 12:00pm 0 Comments

This is a longer form followup to my post describing the open source pandemic package on PyPI (with Python code also available on Github). You can use the code to simulate millions of people moving about in two dimensions, crossing paths and, unfortunately, getting sick.

This video illustrates the dynamic with a toy sized town of fifty people. Watch how transmission takes place. You might even discern commuting and households.…

Continue

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