Aishik Ghosh
@aishikghosh.bsky.social
๐ค 254
๐ฅ 91
๐ 56
Assistant Professor in School of Physics @ GT Physics โฉ AI AI Policy
Our two new research areas are now live!
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about 1 month ago
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๐ข ๐๐ซ๐๐ ๐๐๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง๐ฌ ๐จ๐ฉ๐๐ง, ๐๐๐ซ๐ฅ๐ข๐๐ซ ๐๐๐๐๐ฅ๐ข๐ง๐ ๐ญ๐ก๐ข๐ฌ ๐ฒ๐๐๐ซ!โจ Physics at ๐๐๐จ๐ซ๐ ๐ข๐ ๐๐๐๐ก is accepting applications. ๐๐ฒ ๐ ๐ซ๐จ๐ฎ๐ฉ ๐จ๐ง ๐๐ โฉ ๐ฉ๐ก๐ฒ๐ฌ๐ข๐๐ฌ ๐ข๐ฌ ๐ ๐ซ๐จ๐ฐ๐ข๐ง๐ ! So if you know students interested in ๐๐ฎ๐ง๐๐๐ฆ๐๐ง๐ญ๐๐ฅ ๐ฉ๐ก๐ฒ๐ฌ๐ข๐๐ฌ ๐จ๐ซ ๐๐ฌ๐ญ๐ซ๐จ, please share this.โจ ๐๏ธ Deadline: ๐๐๐๐๐ฆ๐๐๐ซ ๐๐โจ โจ๐
physics.gatech.edu/academics/gr...
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Admissions Information
Prospective physics graduate students are welcome to contact faculty members to inquire about their research program. However, individual faculty members cannot accept students into the graduate progr...
https://physics.gatech.edu/academics/graduate/admissions-info
about 2 months ago
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๐ข๐๐จ๐ ๐๐ฅ๐๐ซ๐ญ: Postdoc position(s) in ๐๐ ๐๐จ๐ซ ๐๐ฎ๐ง๐๐๐ฆ๐๐ง๐ญ๐๐ฅ ๐ฉ๐ก๐ฒ๐ฌ๐ข๐๐ฌ focusing on either ๐ฌ๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐๐ฅ ๐ข๐ง๐๐๐ซ๐๐ง๐๐ or ๐๐-๐๐ฌ๐ฌ๐ข๐ฌ๐ญ๐๐ ๐ญ๐ก๐๐จ๐ซ๐ฒ. ๐๏ธJoin my new group at ๐๐๐จ๐ซ๐ ๐ข๐ ๐๐๐๐ก, based in ๐ฐ๐จ๐ง๐๐๐ซ๐๐ฎ๐ฅ ๐๐ข๐๐ญ๐จ๐ฐ๐ง ๐๐ญ๐ฅ๐๐ง๐ญ๐! ๐๏ธ Reviews begin sooner, deadline: ๐๐ญ๐ก ๐๐๐๐๐ฆ๐๐๐ซ ๐ฌ Questions: Reach out! ๐
inspirehep.net/jobs/2962185
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INSPIRE
https://inspirehep.net/jobs/2962185
about 2 months ago
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reposted by
Aishik Ghosh
Lukas Heinrich
2 months ago
๐จ Job Alert We're hiring our first Postdoc to work with us on our
@erc.europa.eu
Project on Generative AI for Particle Physics. Check out the details below and don't hesitate to get in touch or spread the word! Deadline: Nov 30th
inspirehep.net/jobs/3075448
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LinkedIn
This link will take you to a page thatโs not on LinkedIn
https://lnkd.in/eVNuVsAe
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Setting up my research group Slack workspace (free version). Has anyone considered Discord / Zulip / something else?
@marielpettee.bsky.social
@lukasheinrich.com
3 months ago
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reposted by
Aishik Ghosh
Yvette Cendes
3 months ago
Yeah, even crazier- last year for my postdoc ad a full half of the applications legit never made reference to anything my lab does and how my research would connect to theirs. You are literally in the top half of applicants for just TRYING to draw a connection in a sentence in the cover letter!
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Like AI + Physics, which is a well-developed field but we're still only scratching the surface of what we can do!
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3 months ago
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At the launch event for โช@gtsciences.bsky.socialโฌ's AI4Science Centre:
ai4science.ai.gatech.edu
. With colleagues from psychology, math, earth sciences and everything in between. Looking forward to all the cross-pollination within the sciences and also with industry!
4 months ago
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A little comment like one of these makes my week. Teaching and mentorship is easily the most rewarding aspect of academia. Makes it all worth it. Thanks again to all the students who came to ML4FP and interacted with us for a week. Your positive comments mean the word to us!
5 months ago
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Today we have the ATLAS, CMS and Neutrino parallel sessions at the ML4FP School. Julia Gonski give us an overview of ML in ATLAS
5 months ago
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GPT5's explanation for FTS is quite impressive, especially where it gives an intuitive explanation that is not just directly lifted from the paper. Makes it easy to learn a new statistics concept.
chatgpt.com/s/t_6894ece0...
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GPT-5 vs GPT-4
https://chatgpt.com/s/t_6894ece0be988191b8c2aaa8e216d852
5 months ago
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And we're off! Yifan Chen welcomes students to the Machine Learning for Fundamental Physics School 2025!
5 months ago
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What if you could beat the Likelihood Ratio Test? A fun and potentially transformational phy-statistics paper with Ann Lee, James Carzon,
@rafael-izbicki.bsky.social
, luca Masserano and
@danielwhiteson.bsky.social
arxiv.org/abs/2507.17831
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On Focusing Statistical Power for Searches and Measurements in Particle Physics
Particle physics experiments rely on the (generalised) likelihood ratio test (LRT) for searches and measurements, which consist of composite hypothesis tests. However, this test is not guaranteed to b...
https://arxiv.org/abs/2507.17831
5 months ago
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reposted by
Aishik Ghosh
Oz Amram
6 months ago
Happy this paper is finally on arxiv! A fun mix of physics (jet substructure) being used to calibrate the performance of ML algorithms (jet taggers) to get proper uncertainties Now a standard CMS tool for interpreting searches for exotic jets, used in multiple analyses
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New paper: Constraining the Higgs self-coupling from the off-shell single Higgs with NSBI. Work with Tae Hyoun Park, Maximilian Griese & Ulrich Haisch.
arxiv.org/abs/2507.02032
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6 months ago
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reposted by
Aishik Ghosh
Lukas Heinrich
6 months ago
So happy to see
@aishikghosh.bsky.social
thrive - heโs been one of the drivers of AI in HEP and I canโt wait to see his lab start up - take note of the postdoc position coming up.
add a skeleton here at some point
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Some happy news โ Iโve accepted a tenure-track faculty position in the School of Physics at Georgia Tech! My group will work at the intersection of AI and fundamental physics & astrophysics. GT is making massive investments in these directions, and Iโm hiring a postdoc โ more soon!
6 months ago
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Delighted to see our work featured in the news! Two key players mentioned but unfortunately not explicitly named: discussions with Kyle Cranmer and Johann Brehmer were crucial in the initial stages. Also Jay, Rafael were central in making it a reality in ATLAS.
add a skeleton here at some point
6 months ago
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reposted by
Aishik Ghosh
Gilles Louppe
6 months ago
Our work on simulation-based inference at the LHC is featured in
@arstechnica.com
! Well done
@aishikghosh.bsky.social
@sandesarajay.bsky.social
๐
arstechnica.com/science/2025...
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How a grad student got LHC data to play nice with quantum interference
New approach is already having an impact on the experimentโs plans for future work.
https://arstechnica.com/science/2025/06/how-a-grad-student-got-lhc-data-to-play-nice-with-quantum-interference/
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Wondered what it would take for AI agents to design and test new theories for fundamental physics, just like a physicist? We show how, an example in neutrino model building! Paper with Jake, Max, Victoria, Jason leading crucial aspects, also
@danielwhiteson.bsky.social
.
arxiv.org/abs/2506.08080
7 months ago
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Breakthrough Prize awarded to LHC experiments for the study of Higgs properties (to which I contributed), rare processes, matter-antimatter asymmetry, and many other areas of research
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9 months ago
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reposted by
Aishik Ghosh
Daniel Whiteson
12 months ago
New paper! Learning Broken Symmetries with Approximate Invariance Led by HIGH SCHOOL STUDENT Seth Nabat, with Aishik_Ghosh, Ed Witkowski and GregorKasieczka.
arxiv.org/abs/2412.18773
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Learning Broken Symmetries with Approximate Invariance
Recognizing symmetries in data allows for significant boosts in neural network training, which is especially important where training data are limited. In many cases, however, the exact underlying sym...
https://arxiv.org/abs/2412.18773
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reposted by
Aishik Ghosh
Gregor Kasieczka
12 months ago
We show that a hybrid (conserving+breaking) architecture combines the advantages of symmetry-conserving networks (fast learning) and breaking ones (higher maximum performance). Great work by Seth with
@aishikghosh.bsky.social
, Ed,
@danielwhiteson.bsky.social
Full paper:
arxiv.org/abs/2412.18773
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reposted by
Aishik Ghosh
Gregor Kasieczka
12 months ago
Now(ish) on arxiv: Learning Broken Symmetries with Approximate Invariance Invariances (or, as physicists call them: symmetries) of the data can be baked into a ML model to improve performance or data efficiency. However, in reality, these symmetries are often broken. How to deal with that?
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reposted by
Aishik Ghosh
UWโMadison Data Science Institute
about 1 year ago
DSI Research Scientist
@matthewfeickert.com
focuses on data science applications and
#opensource
software for particle physics. Read his story:
ospo.wisc.edu/community/pr...
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reposted by
Aishik Ghosh
Lukas Heinrich
about 1 year ago
Itโs a pleasure to host
@aishikghosh.bsky.social
in Munich, where he heโs sharing the NSBI story that he has pushed in
@atlasexperiment.bsky.social
for many years and recently came out
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The propaganda slide about how the next discovery may be made in particle physics, from my CERN seminar:
indico.cern.ch/event/1479992/
about 1 year ago
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reposted by
Aishik Ghosh
Gilles Louppe
about 1 year ago
Simulation-based inference in ATLAS! ๐ Very proud to have contributed to this project, from its inception 10 years ago, to its publication this morning. NSBI replaces histogram-based analysis with a per-event analysis based likelihood-ratios modeled by NNs. Gains in sensitivity are substantial!
add a skeleton here at some point
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First post on BlueSky! I'm excited to give a seminar at
#CERN
tomorrow on 6 years of work developing a complete statistical framework for high-dimensional inference of the Higgs width. Simulation-based inference on actual collision data in ATLAS, profiling all systematic uncertainties!
about 1 year ago
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