Raheem Hashmani

Ph.D. Student at @UWMadPhysics. Research Assistant at @datascience_uw. Currently learning how to survive below freezing.

[Raheem Hashmani @RaheemHashmani]

Excited to share my 1st paper as a PhD student at @UWMadPhysics working with @datascience_uw!

Our paper introduces a novel way to benchmark self-supervised ML models and evaluate mutual information estimators on realistic data.

Glad to have worked with this group. More to come!

[Kyle Cranmer @KyleCranmer]

New paper, with @RaheemHashmani @merz_garrett @marielpettee @_helenqu
We introduce a framework for generating realistic, highly multimodal datasets with explicitly calculable mutual information. This is helpful for studying self-supervised learning
https://t.co/XliwutGTNi

[UW-Madison Physics @UWMadPhysics]

Physics PhD student @RaheemHashmani served as a Live Science expert for this question! ⬇️

[Kyle Cranmer @KyleCranmer]

From a friend of mine
"I opted out of @Dominos' selling of my info. Not only did it take 4 different screens, 1 email, 1 SMS, and 6 business days, they got back to me with this message."
How can that even be legal. We will continue to sell your data if you clear your cookies?

[Raheem Hashmani @RaheemHashmani]

Yesterday, we also had the
@uwmadphy Physics
Fair. Great job Sarah organizing it all!

Here we can see @merz_garrett, who works with me at @datascience_uw, manning the Cloud Chamber exhibit!

[Raheem Hashmani @RaheemHashmani]

Finally wrapped up the Wonders of Physics show at @UWMadPhysics.

[Raheem Hashmani @RaheemHashmani]

Was able to get a photo with @LibnOfCongress. Dr. Carla Hayden is the 14th Librarian of Congress and the first woman and African American to hold the position! She’s a trailblazer in making knowledge and history accessible to everyone. @librarycongress

[Raheem Hashmani @RaheemHashmani]

Looks like Santa is here at the @librarycongress Holiday Celebration.

[Raheem Hashmani @RaheemHashmani]

Whoops! Looks like this is Santa.

[Raheem Hashmani @RaheemHashmani]

Looks like the Madison lakes have frozen over.

[Raheem Hashmani @RaheemHashmani]

The second one is the Cathode-Ray Tube (CRT). A vacuum tube where electrons are accelerated and deflected to create images on a fluorescent screen. Once central to TVs and monitors, it was originally key to J. J. Thomson’s experiments that helped discover the electron!

[Raheem Hashmani @RaheemHashmani]

On to the next event for today!

As a @UWMadPhysics Outreach Fellow, I’m at @MadisonEastHS performing a couple modern physics experiments with other Fellows.

[Raheem Hashmani @RaheemHashmani]

The first one is the Photoelectric Effect! Einstein proposed that photons come in packets with a specific energy. If the energy is large enough, it can knock an electron loose. This discovery helped him win a Nobel prize and is now easily replicated across the globe.

[datascience@uw @datascience_uw]

Excited to host the @uwmadison @NSF HDR ML Challenge kickoff meeting today with @uw_wipac. The challenge: develop algorithms that can identify subtle differences and anomalies across three provided datasets. Thanks to everyone who participated! @a3d3institute

[Raheem Hashmani @RaheemHashmani]

That’s Josh from @a3d3institute explaining the 3 challenges! I can peep @KyleCranmer there too. 👀

@merz_garrett is here hiding just outside the photo.

A lot of people from @WisconsinCS, @UWMadPhysics, and @UWMadisonSTATS! @datascience_uw

[Raheem Hashmani @RaheemHashmani]

I'll be cohosting the @NSF HDR ML Challenge @UWMadison kickoff event later today with Josh Peterson from @a3d3institute at @datascience_uw.

https://t.co/JxRlBiYmxu

[Raheem Hashmani @RaheemHashmani]

I'll be cohosting the @NSF HDR ML Challenge @UWMadison kickoff event later today with Josh Peterson from @a3d3institute at @datascience_uw.

https://t.co/JxRlBiYmxu

[datascience@uw @datascience_uw]

There are a few seats left in the NSF HDR ML Challenge kickoff meeting. Participants will use ML to discover anomalies in data and compete for a cash prize. Open to
@UWMadison students, faculty, & staff, and community members. Learn more and register: https://t.co/bj76R3j5xc

[Kyle Cranmer @KyleCranmer]

I have this book! I can see the Washburn Observatory from my office. And last week @RaheemHashmani organized for the Data Science Institute to visit the old planetarium, which got me thinking about how the notion of a physics-inspired or data-driven “model” has evolved

[Kyle Cranmer @KyleCranmer]

Congratulations @RaheemHashmani @eakbas2 @BilgeDemirkoz! @UWMadPhysics @datascience_uw

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @RaheemHashmani @eakbas2 @BilgeDemirkoz @UWMadPhysics @odtu_bilg_muh @PhysicsMETU-'A comparison of #deeplearning models for #proton background rejection with the @AMS_02....'-https://t.co/ojtLg7RBSj #machinelearning #HEP #particlephysics #cosmicrays #detectors

[Raheem Hashmani @RaheemHashmani]

@KyleCranmer @eakbas2 @BilgeDemirkoz @UWMadPhysics @datascience_uw Thank you very much!

[Raheem Hashmani @RaheemHashmani]

A big thanks to @BilgeDemirkoz and @eakbas2, without whom this paper wouldn't be possible!

[UW-Madison Physics @UWMadPhysics]

Congrats to PhD student Raheem Hashmani on the publication of his first-author article, "A comparison of deep learning models for proton background rejection with the AMS electromagnetic calorimeter," in @MLSTjournal! The work was completed at @METU_ODTU
⬇️https://t.co/x9cmrmmcD3