Shikhar

multi-model @ ¬◇ | ex ai safety @LTI, CMU

Open-access, peer-reviewed journal dedicated to publishing research on language, language use, language acquisition, language teaching, and language assessment. https://tesolal.columbia.edu

Phonologist | asst. prof @ University of Southern California Linguistics | previously: postdoc @ MIT Brain & Cognitive Sciences, PhD @ UCLA Linguistics | theory 🔁 experiments 🔁 (Bayesian) models | 🌈 he | cbreiss.com

Professor @SapienzaRoma - Comparative psychology, music neuroscience & bioacoustics. Works on rhythm/sync/speech/communication across species (humans, primates, marine mammals, etc.)

natural language processing and computational linguistics at google deepmind.

Research Lead @earthspecies working on decoding animal language using AI. ex-Duolingo, MSR, Google. Speaks JA, ZH, EN, learning KO and AR. he/him

Algorithmist | CS Prof. @ IISc Bangalore | Past: Georgia Tech, IIT Kharagpur Algo-rindam Youtube: https://www.youtube.com/@ArindamKhan LinkedIn: https://www.linkedin.com/in/arindam-khan-445ab615/

PhD @CMU LTI https://eeelisa.github.io/

PhD Student at University of Sheffield. Researching privacy in M/LMs.

Speech Researcher @ BUT SPEECH Visiting student @ CLSP Johns Hopkins University GitHub: https://github.com/domklement LinkedIN: https://www.linkedin.com/in/dominik-klement/

Computer Science -- Data Structures and Algorithms (cs.DS) source: https://export.arxiv.org/rss/cs.DS maintainer: @tmaehara.bsky.social

The new frontier of interspecies understanding. We decode animal communication with advanced AI to illuminate the diverse intelligences on earth. www.earthspecies.org/

PhD student in the Hecht Lab of Harvard University. Studying how selection shapes the brains & behaviors of working dogs, village dogs, New Guinea singing dogs, and domesticated foxes 🐶 🦊 🧠 caninebrains.org sophiealexandrabarton.com ngsdconservation.org

Grad Student @ CMU | Currently fascinated by problems in ML4Code and AI Alignment | cs.cmu.edu/~anmola

Head of AI at Displace TV, focusing on highly personalized AI Assistants. Co-founder @ https://updaytr.com Ex-Apple (Siri), ex-Microsoft (SemanticMachines). Berkeley PhD. In the San Francisco Bay Area Views are my own.

PhD student @Stanford CS. drug discovery; protein modeling & machine learning. BioX Fellow. Founder @Stealth.

Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary. ramon.astudillo.com

1st-year CS PhD student at UCSD I work on music and ML. havenpersona.github.io

Ph.D. in Artificial Intelligence and Music, C4DM https://saurjya.github.io/

Audio and AI researcher. Faculty in Siebel School at UIUC and Visiting Academic at Amazon Lab126. A working dad. Some obsolete hobbies: music, photography, drawing, and writing. Still active interests: cooking. 🏠 https://minjekim.com

HCI Assistant Professor at UMich researching accessibility, audio AI, sound interaction, XR, and health. Director, Soundability Lab. Previously, Google, Apple, Microsoft, UW, and MIT Media Lab. https://dhruv-jain.com

Senior Manager, Foundational Research , @GoogleDeepMind Googler, Ex @Dolby & @Broadcom Talks and Investments 👉🏽 http://portfolio.v1vek.com

I’m a PhD student in University of Illinois Urbana-Champaign working on audio inverse problems. My website: https://xzwy.github.io/alanweiyang.github.io/

Milanese-Californian Digital Speech and Audio Processing Technologist @ Apple

audio & ml research at antarestech.com. previously audioshake.ai, gracenote.com. also interested in photography, bicycles, and beer.

Associate professor at Télécom Paris in machine listening and audio applied to extended reality

Working to understand how humans and machines hear. Prof at MIT; director of Lab for Computational Audition. https://mcdermottlab.mit.edu/

Head of Audio and Video AI Research at Adobe Research

Postdoc Researcher @Télécom Paris, Institut Polytechnique de Paris Prev PhD @INRIA Prev intern @Meta @Baidu I work on generative models and audio applications https://xiaoyubie1994.github.io/

unsound lab cat @ georgia tech

California based auditory researcher and sports photographer.

We're the Music Understanding Synthesis and AI Creativity Group at UCSD! (PIs: Julian McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov) https://ucsd-musaic.github.io

Machine Learning for Music/Speech | Senior Research Engineer at Native Instruments/iZotope | Previously Intern @Microsoft, @Sony, @AudioshakeAI

Now: Audio & Multimodal ML PhD in the Music and Audio Research Lab @ NYU Prev: Data Developer at Sonos and Northwestern, Research Intern at Adobe + Bosch Research

Research Scientist @SonyAI PhD from Seoul National University Previous intern @MERL, @Sony, and @Supertone

Research Scientist @ Sound Scene Understanding Team, RIKEN-AIP, Japan

I study machine listening methods for bioacoustics and automated sensing of natural environments. And I enjoy natural environments. https://johnmartinsson.org/ Core member of Climate AI Nordics | ML researcher at RISE

Multi-instrumentalist musician, sound engineer, audio software dev, ML engineer

PhD Student - Deep Learning & Speech Processing @LeCnam GitHub: github.com/jhauret

PhD candidate at Carnegie Mellon University Senior Applied Scientist at Microsoft 🌐 https://soham97.github.io 🐙 https://github.com/soham97 🎓 https://scholar.google.com/citations?user=MasiEogAAAAJ&hl=en

Auditory signal processing researcher.

Research Scientist at Google Deepmind working on audio/speech generation.

PhD researcher in AI & Music at C4DM | QMUL. Previously: Sony CSL Paris, Sony Tokyo, AXD Imperial College, Blackstar Amps

Speech perception & brain nerd, University of Connecticut. Opinions my own, not my employer's.

Automated posting of sound-related articles uploaded to arxiv.org (eess.AS + cs.SD) Source: https://github.com/dsuedholt/bsky-paperbot-sound/ Inspired by @paperposterbot.bsky.social and https://twitter.com/ArxivSound

PhD Student @ltiatcmu.bsky.social. Working on reasoning, code-gen agents and test-time compute.

Human Centered AI, AI for Accessibility 👥🦾 Postdoc at UT Austin ISchool, previously a PhD at UMD CLIP she/her

CS PhD @Harvard • Pre-doc @GoogleDeepMind • Anything `science', ~cosmos, and Oxford commas

Ph.D. candidate @ UMD CS Clip lab | ex Intern @ Meta FAIR & Microsoft | Multilingual and Multimodal NLP. Machine Translation and Speech Translation. https://h-j-han.github.io/

Sr. Research Scientist at the Samsung AI Center in Cambridge. Affiliated lecturer at the University of Cambridge. SpeechBrain <3

Speech & Audio

Summarize the top 30 most popular arXiv papers on Reddit, Hacker News and Hugging Face in the last 30 days. Source: https://github.com/susumuota/arxiv-reddit-summary Maintained by @ota.bsky.social

PhD student @PennState • Multimodal Learning x Affective Computing • ex-Microsoft

Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604 Interested in how computers can learn and see.

PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.

Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com

PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI

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

ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).

Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.

Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org

Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/

Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/

Seeking superhuman explanations. Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.io/

Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io

Assistant Professor @ University of Cambridge. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io

Senior Researcher @arc-mpib.bsky.social MaxPlanck @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, AI/collective intelligence, behavioral public policy, comput. social science, misinfo; stefanherzog.org scienceofboosting.org

PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI

Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.

Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science

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

interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.

Assistant professor at University of Minnesota CS. Human-centered AI, interpretable ML, hybrid intelligence systems.

Researcher @Microsoft; PhD @Harvard; Incoming Assistant Professor @MIT (Fall 2026); Human-AI Interaction, Worker-Centric AI zbucinca.github.io

Professor of computer science at Harvard. I focus on human-AI interaction, #HCI, and accessible computing.

CS Professor at Stanford

Sr. Principal Research Manager 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 // http://jennwv.com

🎯 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

Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling

CS prof at Haverford, Chair @acm.org U.S. tech policy, @brookings.edu nonres Senior Fellow, former White House OSTP tech policy, co-author AI Bill of Rights, research on AI and society, @facct.bsky.social co-founder formerly @kdphd 🐦 sorelle.friedler.net

PhD Student in Machine Learning at CMU. 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io

PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting

"Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | AI Evaluation, Safety, Alignment | 🇰🇷 harry.scheon.com

Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.

Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io On the job market!

Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.

Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io

Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪 Prev at IPAM | UCLA | BCCN Interpretability | XAI | NLP & Humanities | ML for Science

Machine learning, interpretability, visualization, Language Models, People+AI research

PhD student at Utah NLP, Mechanistic Interpretability, Trustworthy AI, Human-centered AI

Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/

Stanford MS&E Postdoc | Human-Centered AI & OR Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈