Ege Demir
ML Engineer @ Themis AI trying to quantify uncertainty
Currently exploring ways to quantify information contained in weight matrices
www.linkedin.com/in/ege-d-5778ba85
@nevsinmengutv.bsky.social
Bugün Ne Oldu? Gazeteci Nevşin Mengü, günün haberlerini derliyor ve özetliyor. Gün içinde o kadar çok şey oluyor, gündem o kadar hızlı değişiyor ki, takip etmek zor. Nevşin Mengü sizin için takip edip, öne çıkanları aktarıyor.
@selinmat.bsky.social
@ozgurharita.app
"Umutsuz durumlar yoktur, umutsuz insanlar vardır. Ben hiçbir zaman umudumu yitirmedim." - Gazi Mustafa Kemal Atatürk https://ozgurlukharitasi.vercel.app https://ozgurharita.app https://ozgurlukharitasi.com
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@stippe87.bsky.social
Former theoretical physicist, now data scientist. Bayesian, PyMC addicted. Science outreach enthusiast and dataviz lover. Skeptik Mostly in Turin (IT) https://thestippe.github.io/statistics
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@manishgenai.bsky.social
Co-Founder @FreeDoctr 🧬⚕️ , Building a collaborative Platform for Patients and Doctors. 🌐🩻 #GraphML, #GeometricDL, #Gen AI #ML ,#RL, #LLM, #AIForHealthcare https://www.linkedin.com/in/manish-genai/
@arielnlee.bsky.social
Data quality & post training magic. Data Provenance Initiative. Platypus. Prev: Founding Research Scientist (Multimodal) @ Raive. MS @ BU ECE, BS @ UCLA.
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@bengioe.bsky.social
Staff ML Scientist @valenceai.bsky.social Labs/Recursion Pharma, Mila GFlowNets, molecules & stuff https://folinoid.com
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
@zootime.bsky.social
I work with explainability AI in a german research facility
@juffi-jku.bsky.social
Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
@juliusad.bsky.social
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@elglassman.bsky.social
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
@chhaviyadav.bsky.social
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@tmiller-uq.bsky.social
Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io
@umangsbhatt.bsky.social
Incoming Assistant Professor @ University of Cambridge. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io
@stefanherzog.bsky.social
Senior Researcher @arc-mpib.bsky.social @Max Planck Hum. Developm. @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, hybrid collective intelligence, AI, behavioral public policy, misinfo; stefanherzog.org scienceofboosting.org
@fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
@ryanchankh.bsky.social
Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
@pedroribeiro.bsky.social
Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science
@lowd.bsky.social
CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
@gully.bsky.social
interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.
@harmankaur.bsky.social
Assistant professor at University of Minnesota CS. Human-centered AI, interpretable ML, hybrid intelligence systems.
@zbucinca.bsky.social
PhD Candidate @Harvard; Human-AI Interaction, Responsible AI zbucinca.github.io
@kgajos.bsky.social
Professor of computer science at Harvard. I focus on human-AI interaction, #HCI, and accessible computing.
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@upolehsan.bsky.social
🎯 Making AI less evil= human-centered + explainable + responsible AI 💼 Harvard Berkman Klein Fellow | CS Prof. @Northeastern | Data & Society 🏢 Prev-Georgia Tech, {Google, IBM, MSFT}Research 🔬 AI, HCI, Philosophy ☕ F1, memes 🌐 upolehsan.com
@markriedl.bsky.social
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Associate Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.