Sam Miller

AI PhD and founder of Atlas AI - helping people with their exercise form

[Sam Miller @sam_miller93]

@DrHorwitz @100club100 @dookiebutter100 Thanks all, nice to meet you!

I'm not super active on Twitter, but would love to speak with more people that are into improving their exercise form.

[Data Science Lab @thedatascilab]

Congratulations to Dr @sam_miller93 of @thedatascilab & @turinginst for passing his PhD viva with a superb thesis! Thanks too to examiners @robnprocter and @IrenaVodenska.

In place of a viva photo, here's Sam chatting to @DCMS about his PhD 🎥

@GRPWarwickBBS @WarwickBSchool

[Suzy Moat @suzymoat]

Very excited about this new paper with @sam_miller93 @t_preis @gvnmzz @leosbastos @marfcg @fccoelho and @claudia_codeco!

🧵explaining the results below...

[Tobias Preis @t_preis]

Day 2 of #30DayMapChallenge: how #COVID19 brought air traffic to a standstill, captured in the dotted lines of data left behind by aircraft.

We reconstructed 67 million flights @thedatascilab & @turinginst to estimate economic activity in real time https://t.co/4jc8hMa0jf

[Data Science Lab @thedatascilab]

Coming up on @BBCRadio4 #insidescience https://t.co/6IoScEj1cf

@t_preis & @suzymoat speak to @amsterdammed about faster indicators of the economy and society

Research with @sam_miller93 (https://t.co/GQSGTwYvaF) & @Fede_Botta (https://t.co/Mmb0S9eozS)

@warwickuni @turinginst

[Tobias Preis @t_preis]

Just published: We use aircraft location data to estimate economic activity in real time. Comparing the traces that aircraft left behind on 15th April this year and last year showcases the impact of #COVID19 measures on aviation. https://t.co/4jc8hMa0jf 1/n

[The Alan Turing Institute @turinginst]

In our latest #Spotlight we speak to Turing Doctoral Student Sam Miller - his research applies #MachineLearning & imaginative insights to unconventional data sources. https://t.co/pCjbuFcfWc

Read Sam’s new @Nature paper, co-authored @suzymoat & @t_preis: https://t.co/df3Zp4VtLB

[WikiResearch @WikiResearch]

"Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets." #Wikipedia data can help build a high-frequency measure of drug demand, which could help policymakers respond more quickly to future drug crises.

(Miller et al, 2020)

https://t.co/rs0nOodSXT

[Sam Miller @sam_miller93]

Gods of the sea à Hackney, Hackney, United Kingdom https://t.co/IFLgYXPJ4M

[Sam Miller @sam_miller93]

Gods of the sea à Hackney, Hackney, United Kingdom https://t.co/LXaMyMCkgN

[Sam Miller @sam_miller93]

Join the Turing - they may even put you on TV!

[Department for Digital, Culture, Media and Sport @DCMS]

.@turinginst and @warwickuni student Sam says, don't be afraid to jump in if you're thinking of applying for an AI programme, as we announce hundreds of new places to study this exciting field #IndustrialStrategy