Emma Pierson
@2plus2make5
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Assistant prof @Berkeley_EECS, core faculty @UCJointCPH. Developing ML methods to study health & inequality. https://t.co/ok5Ap93rre
Joined December 2013
🚨 New postdoc position in our lab @Berkeley_EECS! 🚨 (please retweet + share with relevant candidates) We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences! More info in thread 1/3
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our new work on learning interpretable descriptions of human feedback data! check out the demo here: https://t.co/QCiwb6mn5T a little bit about why i'm excited about this direction... in the Community Alignment paper ( https://t.co/0XorBjggtv), we show that existing preference
arxiv.org
How can large language models (LLMs) serve users with varying preferences that may conflict across cultural, political, or other dimensions? To advance this challenge, this paper establishes four...
📣NEW PAPER! What's In My Human Feedback? (WIMHF) 🔦 Human feedback can induce unexpected/harmful changes to LLMs, like overconfidence or sycophancy. How can we forecast these behaviors ahead of time? Using SAEs, WIMHF automatically extracts these signals from preference data.
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Such a pleasure to collaborate on this with @rajivmovva, @SmithaMilli, and @sewon__min! Check out Raj's full thread, paper, and very cool demo :) And please reach out if you have feedback datasets (or, more generally, human judgment datasets) to apply this to!
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We need leaders in office that care about the American people. We The People need leaders that have answers to our Healthcare. Im not a politician, just a fellow American that cares about my neighbor. Biblical, love they neighbor as yourself. Options: This is America and
medishare.com
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We don't fully understand the preferences human feedback encodes, so training on it can be risky. We propose a method to automatically discover these preferences! We identify unsafe, contradictory, and subjective preferences, and improve model safety, eval, and personalization.
📣NEW PAPER! What's In My Human Feedback? (WIMHF) 🔦 Human feedback can induce unexpected/harmful changes to LLMs, like overconfidence or sycophancy. How can we forecast these behaviors ahead of time? Using SAEs, WIMHF automatically extracts these signals from preference data.
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LLMs have dominated recent work on simulating human behaviors. But do you really need them? In discrete‑choice settings, our answer is: not necessarily. A lightweight graph neural network (GNN) can match or beat strong LLM-based methods. Paper: https://t.co/WvMRy4DdjR 🧵👇
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Congratulations to all new Fellows!
We're excited to welcome 28 new AI2050 Fellows! This 4th cohort of researchers are pursuing projects that include building AI scientists, designing trustworthy models, and improving biological and medical research, among other areas. https://t.co/8oY7xdhxvF
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Not having good data on what drugs are safe in pregnancy has made being pregnant harder than it needs to be. I argue in @TheArgumentMag that we should solve this problem by enrolling more pregnant women in RCTs. Link ⬇️
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Cornell (NYC and Ithaca) is recruiting AI postdocs, apply by Nov 20, 2025! If you're interested in working with me on technical approaches to responsible AI (e.g., personalization, fairness), please email me. https://t.co/9rO1RILukZ
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Even before @mmitchell_ai recently raised this discussion, I've had conversation after conversation with students & new grads struggling with this exact dilemma. I want to help! Here's a live thread of AI-related opportunities for those looking to do good & make (enough) money:
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AI can accelerate scientific discovery, but only if we get the scientist–AI interaction right. The dream of “autonomous AI scientists” is tempting: machines that generate hypotheses, run experiments, and write papers. But science isn’t just an automation problem — it’s also a
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“the true aim of anticapitalism is not justice or social betterment — it is to narrow the boundaries within which people are capable of thinking for themselves.” —Yeonmi Park, defector from North Korea
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Health research is critical, but research resources are increasingly limited. Joe Millum and I argue in @bmj_latest that doctors should help ensure that, amidst this scarcity, the most important research is prioritized. 97% of recommendations in screenshot; link in next tweet.
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I am on the faculty job market this year! I am seeking tenure-track faculty positions to drive my research agenda on rigorous AI evaluation for science and policy. I am applying broadly across disciplines, and would be grateful to hear of relevant positions. Materials: 🧵
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Our lab @Berkeley_EECS is recruiting PhD students! We develop ML methods for the health + social sciences in order to build a fairer, healthier world. Apply to @Berkeley_EECS or @UCJointCPH and mention my name in your application! More info: https://t.co/5zbN1G6RWE
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We are hiring!!!! Please apply :)
UC Berkeley EECS is hiring! We're seeking exceptional faculty candidates at all ranks for our "Engineering + AI" search and up to 7 tenure-track Asst. Professors in EECS. EECS Focused Searches Include: Quantum Computing ⚛️ AI, Inequality, & Society ⚖️ https://t.co/S8KFqbx1yF
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Do you have many models to choose from and little labeled data with which to evaluate them? Check out our #neurips2025 paper, which presents a method to estimate model performance more accurately than previous methods using both labeled + unlabeled data.
New #NeurIPS2025 paper: how should we evaluate machine learning models without a large, labeled dataset? We introduce Semi-Supervised Model Evaluation (SSME), which uses labeled and unlabeled data to estimate performance! We find SSME is far more accurate than standard methods.
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One month left to apply for our postdoc position @berkeley_ai! Apply here: https://t.co/fdGyaB6f8R.
aprecruit.berkeley.edu
University of California, Berkeley is hiring. Apply now!
🚨 New postdoc position in our lab @Berkeley_EECS! 🚨 (please retweet + share with relevant candidates) We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences! More info in thread 1/3
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Working with Divya early in my PhD was the best introduction to research one could ask for. She's an excellent researcher and mentor, and others would be lucky to learn from her too.
I am on the job market this year! My research advances methods for reliable machine learning from real-world data, with a focus on healthcare. Happy to chat if this is of interest to you or your department/team.
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Since I had to put together a short combination of clips for the American Ninja Warrior application last night (as they asked me to send a 3 minute video of why I would be an "interesting" contestant), and since my PR manager has been bugging me to put some videos together, I
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Meeting Divya 5 years ago was one of the biggest strokes of luck in my faculty career - she is a brilliant scientist who has been foundational to so many of our lab's projects, and any institution would be lucky to hire her.
I am on the job market this year! My research advances methods for reliable machine learning from real-world data, with a focus on healthcare. Happy to chat if this is of interest to you or your department/team.
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STATES CANNOT INVADE ONE ANOTHER. This is so simple -- so fundamental to America -- I cannot believe I have to type those words. America is on the brink of martial law.
I fully authorized the President to call up 400 members of the Texas National Guard to ensure safety for federal officials. You can either fully enforce protection for federal employees or get out of the way and let Texas Guard do it. No Guard can match the training, skill, and
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We are 8 months (17%) into his 4-year term. If this trend continues, we will not live in anything remotely resembling a free society at the end of it. People across the political spectrum need to be making MUCH more noise about this if we want America as we know it to survive.
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Question for Women under 40... What is the oldest man you'd consider being in a relationship with?
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