Research Scientist @Get_Writer, affiliate @BKCHarvard. Previously: PhD @MIT_CSAIL, Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati. aparnabee @ 🦋
Cambridge, MA
Joined March 2018
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Aparna Balagopalan retweeted
Honored to be selected as a STAT Wunderkind this year, alongside so many incredible and inspiring scientists!
Excited to be at #COLM2026, presenting some recent work on sycophancy evaluation and mitigation for memory-augmented models at the Context Beyond the Window workshop 🤖 This is joint work led by Shelly Bensal and Axel Magnuson, and with Dan Bikel!
Link: arxiv.org/abs/2606.10949
Aparna Balagopalan retweeted
We’re excited to welcome our 2025–26 fellows, faculty associates & affiliates!
Their research—from AI in healthcare to judicial decision-making—builds on BKC’s workstreams in AI agentics, benchmarking & beyond.
Learn more 👉 brk.mn/2526newcommunity
Aparna Balagopalan retweeted
Today is the day you begin delegating complex knowledge work to your own digital teammate.
We’re beta launching our new autonomous super agent to hundreds of enterprise customers. 💪
WRITER Action Agent seamlessly executes complex, multi-step knowledge work from start to finish. It empowers every member of your team with a trusted partner that can accomplish strategic projects with creativity and nuance.
How is Action Agent different?
✅ Independently executes complex tasks: From turning data streams into dashboards to updating your entire sales pipeline
✅ Multitasks while you sleep: Uses its own virtual computer to execute multiple projects simultaneously, even after you close your laptop
✅ Delivers the files you need: Provides intelligence in formats including charts, graphs, images, PDFs, CSVs, and more
✅ Enterprise-ready: Backed by the security of the WRITER platform, and the reliability and transparency of our Palmyra LLMs
✅ Leverages your tech stack: With over 600 connectors and native support for Model Context Protocol (MCP) coming soon
Yes, it’s a game-changer – but don’t just take our word for it. Powered by an updated version of Palmyra X5, Action Agent scored a chart-topping 61% on GAIA Level 3, outperforming Manus, OpenAI Deep Research, and other computer use agents.
Reduce your team's time-to-action from weeks to mere minutes.
Discover the first truly autonomous agent for getting complex knowledge work done: writer.com/engineering/write…
Aparna Balagopalan retweeted
Watch the full episode 👇
🎥 Youtube: youtu.be/Z8VBnZmSUto?si=Bqkm…
🎧 Spotify: open.spotify.com/episode/4uU…
🎧 Apple: podcasts.apple.com/ca/podcas…
Aparna Balagopalan retweeted
What if you could automatically detect and remove mislabeled image-caption pairs?🤯
🎙️ In our new WiAIR episode, we sat down with Aparna Balagopalan @AparnaBee about LEMoN, a method that detects label errors in image-text datasets AUTOMATICALLY. 🧵(1/10)
#WiAIR #WomenInAI
Excited to share our #WWW2025 paper (dl.acm.org/doi/10.1145/36964…) with @kaiwang_gua , @walesalaudeen96 ,
@asia_biega, and @MarzyehGhassemi!
Paper highlights in thread below:
ALT Past work in amortized fair ranking minimizes the differences between an individual’s expected cumula- tive attention and relevance over queries, where queries are considered exchangeable. However, such formulations lack critical information about the distributions of attention and the properties of queries (e.g., polarity). Our approach, Dis- tFaiR, aims to overcome this. The example here considers two search queries with opposite polarities. Both individuals are equally relevant, and have equal expected attention, but have different attention distributions in (a) and (b).
Unlike prior methods that operate on expected amortized attention for each individual, we also define new divergence-based measures for attention distribution-based fairness in ranking (DistFaiR), with useful properties.
Aparna Balagopalan retweeted
Machine learning has advanced rapidly, but its real-world impact in healthcare remains limited. Why?
🎙️ In our NEW EPISODE, Aparna Balagopalan @AparnaBee shares insights on why technical progress hasn't translated into meaningful clinical outcomes.
🧵 (1/8)
#WiAIR #MLforHealth
Aparna Balagopalan retweeted
🚀 Our new episode is LIVE! 🎙️
In Episode 3, we talk with @AparnaBee about:
🏥⚠️ Unique challenges of applying AI in medical contexts
📊🧑🏽🤝🧑🏻 Data quality and bias
👩⚕️🩺 Importance of collaboration with clinicians
Watch and subscribe!
youtu.be/DEdJltlFg4I
#mlforhealth #WiAIR
Presenting posters today at the AFME workshop (West 111-112), and the RBFM workshop (West 217-219)! Drop by to chat more about automatic data filtering and fair ranking! #NeurIPS2024
Excited to attend #NeurIPS2024 in-person this year 😄
🚨I'm also on the job market this year for postdoctoral and full-time research positions! Website: aparna-b.github.io/researche…
I'll be around from Dec 9th to 15th, and am presenting at some workshops (details in thread below!)
Aparna Balagopalan retweeted
I am finally done with the semester and on my way to catch the end of #NeurIPS2024 tomorrow. Come to our poster and talk to me if you are around! Can’t wait to catch up with friends there too!
neurips.cc/virtual/2024/post…
Excited to attend #NeurIPS2024 in-person this year 😄
🚨I'm also on the job market this year for postdoctoral and full-time research positions! Website: aparna-b.github.io/researche…
I'll be around from Dec 9th to 15th, and am presenting at some workshops (details in thread below!)
Feel free to drop by and say Hi or reach out if I'd be a good fit for any relevant postdoctoral or research positions!
Also always happy to chat with students exploring the idea of pursuing a PhD -- happy to help if I can!
(5/n)
Some links:
Website: aparna-b.github.io/researche…
Work I'm presenting at NeurIPS: arxiv.org/abs/2407.18941