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April 8, 2017 247 × 204 A deep learning

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This is me.

In my day job, I'm a clinical computational epidemiologist working in the public health sector (you can learn more about what clinical computational epidemiologists do here). Part of that is doing some pretty exciting research! Mine mainly concerns the epidemiology of viral haemorrhagic fevers (specifically filoviral VHFs) and geospatial models, and computational methods in machine learning/AI. When not working, I hang out with my awesome wife, explore Hungary, break codes, print three-dimensional objects and - surprisingly - code a lot.
This is my blog where I explore what's on my mind: life, love, faith, family, viruses, work, maths, technology, cooking - you name it. Also: marsupials.

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Guts, germs and gore

STAT
Science Based Medicine
RECON: R Epidemics Consortium
Mr. Epidemiology
GIDEON
PLoS Epidemiology
EpiMonitor
West Coast Stat Views
ProMed Mail
Episkills
outbReaks
r4stats
The Poison Review
Life in the Fast Lane
Endpoints News
In the Pipeline
Chris Johnson MD
Vaccines Work
Kidoctr’s Progress Notes

Brothers in Arms

Jocko Podcast
Duffelblog
CIMSEC
Chet Richards
Small Wars Journal
John Q. Public
Zenpundit
Robert Coram
War on the Rocks

From the Code Front

JuliaLang
Chris Bui
Clojurecademy
Schneier on Security
Bob Rudis
Object Mentor (Uncle Bob)
Python CodeMentor
Real Python
PyImageSearch
langsec
Planet SciPy
Full Stack Python
Kenneth Reitz
Ned Batchelder
Jeff Knupp
Practical Business Python
Mouse vs Python
Effbot
Doug Hellmann (PyMOTW)
Wes Bos
Martin Fowler

I’ve redd’ it

r/epidemiology
r/talesfromtechsupport
r/dataisbeautiful
r/datasets
r/machinelearning
r/datascience
r/computervision
r/NLP
r/redneckengineering
r/eli5

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(c) Chris von Csefalvay, 2016–. Disclaimer.
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