ML researcher at D.E. Shaw Research Intereted in Interpretability, ML for drug discovery
NYC
Joined January 2015
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Amirtha retweeted
📢 Deadline extended to Sept. 2, AoE‼️
🧪 Have some cool work? Submit it to our Interpretability for Discovery workshop and join us in Atlanta! 🔍
📣Call for Papers -- Are AI models discovering things we don’t know yet? 👀Submit to Interpretability for Discovery workshop @NeurIPSConf 2026, Atlanta!
Deadline: Aug 29
Website: interpretability4discovery.g…
We're looking for submissions on:
🔹Methods for using interpretability to drive discovery in any field
🔹Case studies of using interpretability to discover/validate patterns and mechanisms in scientific models (including failure cases and negative results)
🔹Comparing interpretability to black-box approaches for extraction of model knowledge
🔹Position papers on where this can and can't work
Failure cases and negative results are welcome too!
✨We are thrilled to announce our wonderful speakers (with more coming soon!):
Gasper Begus @begusgasper
Katrin Franke @kfrankelab
Nicholas Wang @nkwang24
John F. Wu @jwuphysics
Proudly sponsored by @GoodfireAI
✉️Contact us at: [email protected]
Looking forward to seeing everyone’s work!
Organizers:
@boknilev, @EkdeepL, @YNikankin, @ChenhaoTan, @amirtha255
Amirtha retweeted
Working on interpretability, science models, or using interpretability for discovery?
⏰ Less than 10 days left to submit to our workshop!
📣Call for Papers -- Are AI models discovering things we don’t know yet? 👀Submit to Interpretability for Discovery workshop @NeurIPSConf 2026, Atlanta!
Deadline: Aug 29
Website: interpretability4discovery.g…
We're looking for submissions on:
🔹Methods for using interpretability to drive discovery in any field
🔹Case studies of using interpretability to discover/validate patterns and mechanisms in scientific models (including failure cases and negative results)
🔹Comparing interpretability to black-box approaches for extraction of model knowledge
🔹Position papers on where this can and can't work
Failure cases and negative results are welcome too!
✨We are thrilled to announce our wonderful speakers (with more coming soon!):
Gasper Begus @begusgasper
Katrin Franke @kfrankelab
Nicholas Wang @nkwang24
John F. Wu @jwuphysics
Proudly sponsored by @GoodfireAI
✉️Contact us at: [email protected]
Looking forward to seeing everyone’s work!
Organizers:
@boknilev, @EkdeepL, @YNikankin, @ChenhaoTan, @amirtha255
Amirtha retweeted
📣Call for Papers -- Are AI models discovering things we don’t know yet? 👀Submit to Interpretability for Discovery workshop @NeurIPSConf 2026, Atlanta!
Deadline: Aug 29
Website: interpretability4discovery.g…
We're looking for submissions on:
🔹Methods for using interpretability to drive discovery in any field
🔹Case studies of using interpretability to discover/validate patterns and mechanisms in scientific models (including failure cases and negative results)
🔹Comparing interpretability to black-box approaches for extraction of model knowledge
🔹Position papers on where this can and can't work
Failure cases and negative results are welcome too!
✨We are thrilled to announce our wonderful speakers (with more coming soon!):
Gasper Begus @begusgasper
Katrin Franke @kfrankelab
Nicholas Wang @nkwang24
John F. Wu @jwuphysics
Proudly sponsored by @GoodfireAI
✉️Contact us at: [email protected]
Looking forward to seeing everyone’s work!
Organizers:
@boknilev, @EkdeepL, @YNikankin, @ChenhaoTan, @amirtha255
Amirtha retweeted
We're hosting the workshop on Interpretability for Discovery🔬 at NeurIPS 2026, Atlanta!
AI models predict protein folding, forecast weather patterns, and more. They might be learning new patterns we haven't figured out yet. Can we use interpretability to read out these patterns?
Amirtha retweeted
📣 We’re proposing the first workshop on Interpretability for Science 🔬 at ICML 2026
We’re inviting expressions of interest from researchers willing to serve as PC members. If accepted, PC members would review a small number of submissions. Express your interest here forms.gle/QAuJeKLioGQgbXqA8
The workshop focuses on how interpretability techniques can be tailored to scientific foundation models to support discovery and real-world scientific impact. Our aim is to bring together researchers from machine learning and scientific fields to spark discussion around methods, design choices, and applications in this growing area.
We have five amazing invited speakers confirmed so far!
Organizing Committee: Yonatan Belinkov @boknilev, Ekdeep Singh Lubana @EkdeepL, Yaniv Nikankin @YNikankin, Chenhao Tan @ChenhaoTan, and Amirtha Varshin
Amirtha retweeted
The Leadership Lesson from this?
“BALANCE”
Life is rich with opportunities to make an impact. You can achieve focus even if not obsessed with just one goal. Paradoxical, but true. Work on a few goals concurrently. In each task,you’ll be more clear-headed, cool & composed (2/2)
Amirtha retweeted
Dear @mkstalin @Udhaystalin @CMOTamilnadu @GingeeMasthan @DuraimuruganDmk states like Maharashtra, Kerala, Telengana have taken steps for students planning to attend foreign universities to receive prioritized vaccination. We, the students of TN, are requesting you the same.
