Raghav @raghavian@mastodon.social

After a hiatus of a couple of years (while stressing about my PhD) I have gotten back to writing. This time I write for frontline.in , wherein I review a book I read recently.

The book, "New Dark Age", is highly recommended and available on VersoBooks
.
https://frontline.thehindu.com/books/article29768021.ece?homepage=true

Took the bite and wrote up a #blog post reminiscing the formative decade 2010s has been for me.

Stay inspired!

#NewYear2020

https://blog.sarvajna.in/2019/12/31/2010s-a-personal-tale-of-my-professional-journey/

Depoliticizing education and stigmatizing student activism are together the most dangerous tricks pulled by the global elite in the last 3 decades.
#CAA_NRC

My second piece, with substantial contributions from @sritara, for Frontline India magazine where I contextualize the rise of #Mastodon in India.
@Gargron

https://frontline.thehindu.com/science-and-technology/article30148854.ece

Comedians are vocalising all sorts of issues better than mainstream media. Unfortunate as it might be, here's a great speech by Mr. Sacha Cohen aka #Borat #Bruno, pointing out the problems with monopoly social networks.

https://www.youtube.com/watch?v=ymaWq5yZIYM

Struggling to parse papers from #MachineLearning #ArXiv? Use this neat interface with abstract, thumbnails and library functions.
http://www.arxiv-sanity.com/library
It is also #FOSS

Maybe #Google will be able to look at all this #medical data (that is personally identifiable) and find cures.
Or more realistically, they will get better at selling "targeted" drugs to patients.

While not good enough, #GDPR has done a lot of useful regulation on this front in #EU.
#MachineLearning #Privacy

https://www.theguardian.com/commentisfree/2019/nov/14/im-the-google-whistleblower-the-medical-data-of-millions-of-americans-is-at-risk

As you see, pace does not scale linearly with distance. Proven again.

Well, I am also into #running pretty regularly by now. Most recent stats.

Currently I am focused on a diverse set of ML research ranging from neuroscience applications to urban mobility.
I use approximate #Bayesian inference predominantly, both with and without #DeepLearning involved in it.

#Academic

I work with images, specifically medical image analysis. Here's a link to my PhD thesis.
Beware, the link is to the PDF!

https://di.ku.dk/english/staff/?pure=en%2Fpublications%2Fextraction-of-airways-from-volumetric-data(aa19be37-d98b-4882-8707-d20fff8f21cc).html

Is there an #Academic instance of #Mastodon? Specifically looking for #MachineLearning research people!
On a related note, yes I do ML.

Have you noticed the cute "What's on your mind" tooting graphic?

After a hiatus of a couple of years (while stressing about my PhD) I have gotten back to writing. This time I write for frontline.in , wherein I review a book I read recently.

The book, "New Dark Age", is highly recommended and available on VersoBooks
.
https://frontline.thehindu.com/books/article29768021.ece?homepage=true