Manjari Narayan

203 Followers
63 Following
100 Posts

Causal/Predictive Inference ⋂ TranslationalMedicine.

Formerly @StanfordMed | @RiceECE | @ECEIllinois

bsky.apphttps://bsky.app/profile/neurostats.org
twitterhttps://twitter.com/NeuroStats

Background: still no remedy for Intuit's success at lobbying to kill any and all tax reform measures that allow free, easy filing directly with the IRS.

https://www.propublica.org/article/inside-turbotax-20-year-fight-to-stop-americans-from-filing-their-taxes-for-free

Inside TurboTax’s 20-Year Fight to Stop Americans From Filing Their Taxes for Free

Using lobbying, the revolving door and “dark pattern” customer tricks, Intuit fended off the government’s attempts to make tax filing free and easy, and created its multi-billion-dollar franchise.

ProPublica

Four thousand people have read this piece I wrote about surviving the scariest health crisis of my life & what it feels like to keep reaching out for love when all the systems around us rocket towards unmeasured & unheard damage.

I'm so incredibly moved by the messages from my brave fellow travelers -- folks with long covid yes but folks with MS, cancer, a hundred others, folks who know the complexity of our bodies & ourselves. It has been comfort beyond words.

https://www.drcathicks.com/post/covid-data-log

Covid Data Log

Note: For me, 2023 was defined by battling through and recovering from severe and life-threatening illness. Am I better now? Idk. Far better than I was. Far luckier than many. I don't think anyone knows if the millions of people with post covid and/or long covid trajectories are "ok." I debated long and hard about sharing this piece. But I was inspired by Giorgia Lupi's incredible piece on her experience. I'm not an artist or a designer, but I have this -- writing has always been one of the way

drcathicks
@PessoaBrain @DrYohanJohn Well I once wrote an (unsuccessful) grant to do this around 2017. Would love to know how far we have come to do this on a macroscale.
One last thing: problem-space isn't static. It changes constantly... new data or new priorities bring new problems, and problems that used to be "purely" scientific are suddenly closer to external problems when it's found they relate to societally-relevant phenomena.

A #preprint (#tootprint?, whatever), on how the theories we build depend on the problems we use them to solve.

#pragmatism #philosophyofscience #neuroscience
#cognitivescience

https://osf.io/preprints/psyarxiv/q6n58

OSF

@tdverstynen It isn't a field of research or even an area of science anymore. It might as well stand for "who are the key players behind last decade of the computer revolution".

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?

https://openreview.net/forum?id=WJt2Pc3qtI

#uncertainty #benchmark #imaging

How Reliable is Your Regression Model's Uncertainty Under...

Many important computer vision applications are naturally formulated as regression problems. Within medical imaging, accurate regression models have the potential to automate various tasks, helping...

OpenReview
@pfau It seems more possible than ever for a CEO to have been responsible for some major discovery or breakthrough. Would be great to see that I suppose. But not sure it would be possible considering that projects like CERN aren't eligible.

For those who know me, the 2020 Uber layoff that affected me had, in retrospect, changed my life for the better. But I wouldn't have known it then. And it takes daily reminders to see it as an "opening" other than "failure."

Sharing my friend's post:
https://www.linkedin.com/posts/arpithahanumanth_amazonlayoffs-opentowork-tech-activity-7000484010917302272-0_nZ

Arpitha Hanumanth on LinkedIn: #amazonlayoffs #opentowork #tech

Hi friends, Last week I lost my job along with over 10,000 others during #amazonlayoffs. It's been a surreal experience, and my feelings towards it change...

Stepping back a bit, I’ve found it very gratifying to work on - and make a new contribution to - a decades-old open problem in computational physics, at a time when it feels like everyone else in AI is rushing to work on whatever the coolest thing at the moment is. Excited states of quantum systems might be more niche than LLMs, but I really believe that in 10 or 20 years people will still be using our method. Whatever is big in AI today will almost surely be forgotten or supplanted by then.