edgepedia

Researchers in artificial intelligence and machine learning

171 articles

Jennifer Healey

Jennifer Healey is a computer scientist who pioneered wearable sensing and emotion recognition from physiology at MIT, then spent about fourteen years at Intel before joining Adobe Research.

Jeremy Howard (data scientist)

Jeremy Howard is an Australian data scientist and AI researcher who founded Enlitic, led Kaggle as President and Chief Scientist, and co-founded fast.ai with Rachel Thomas.

Jerome H. Friedman

Jerome H. Friedman (J. H. Friedman) is an American statistician at Stanford known for creating gradient boosting, MARS, and CART, and for The Elements of Statistical Learning.

Jiebo Luo

Jiebo Luo is the Hopeman Professor of Computer Science at the University of Rochester, known for computer vision and multimedia research and a Fellow of ACM, IEEE, and AAAI.

Jimmy Lin

Jimmy Lin is a Canadian-based computer scientist and professor at the University of Waterloo known for research in natural language processing, information retrieval, and question answering.

Jitendra Malik

Jitendra Malik is an Indian-born computer vision researcher who has been a professor at the University of California, Berkeley since 1986, elected to the National Academy of Sciences in 2015.

John C. Platt

John C. Platt is a computer scientist known for the SMO algorithm and Platt scaling, with a research career at Synaptics, Microsoft Research, and Google.

John Henry Holland

John Henry Holland (1929–2015) was an American scientist and University of Michigan professor who invented genetic algorithms, pioneered complex adaptive systems, and helped found the Santa Fe Institute.

John J. Hopfield

John J. Hopfield, born in Chicago in 1933, is an American physicist at Princeton known for the 1982 Hopfield neural network and the 2024 Nobel Prize in Physics.

John McCarthy (computer scientist)

John McCarthy (1927–2011) was an American computer scientist at Stanford University who coined the term "artificial intelligence," created LISP, and won the 1971 Turing Award.

John R. Anderson (cognitive scientist)

John R. Anderson, born in 1947, is an American cognitive scientist at Carnegie Mellon University who developed the ACT-R cognitive architecture and intelligent tutoring systems.

Jong-Chul Ye

Jong-Chul Ye (예종철) is a South Korean signal processing researcher and tenured professor at KAIST's Graduate School of AI, working on machine learning for biomedical imaging.

Joshua Tenenbaum

Joshua B. Tenenbaum is a professor of computational cognitive science at MIT who applies Bayesian models to human learning and created the Isomap algorithm, winning a MacArthur Fellowship in 2019.

Judea Pearl (יהודה פרל)

Judea Pearl (יהודה פרל), born in Israel in 1936, is a UCLA computer scientist who invented Bayesian networks, built the modern framework of causal inference, and won the 2011 Turing Award.

Jure Leskovec

Jure Leskovec is a Slovenian computer scientist, Professor of Computer Science at Stanford University, known for pioneering graph neural networks and co-authoring PyG, the most widely used graph neural network library.

Kaiming He (何恺明)

Kaiming He (何恺明) is a Chinese computer scientist at MIT known for ResNet, Faster R-CNN, Mask R-CNN, and He initialization; his ResNet paper is the 21st century's most cited.

Kate Darling

Kate Darling is a Swiss researcher of law, ethics, and human-robot interaction, formerly at the MIT Media Lab and now leading the RAI Institute's Robotics, Ethics & Society team.

Katelyn Meixner

Katelyn (Katie) Meixner is an American mathematician and AI researcher who won a PECASE at the NSA and now leads machine perception research at Johns Hopkins APL.

Ken Goldberg

Ken Goldberg is a roboticist, artist, and entrepreneur who is a distinguished professor at UC Berkeley, directs the AUTOLAB, and co-founded Ambi Robotics and Jacobi Robotics.

Kilian Q. Weinberger

Kilian Q. Weinberger is a machine learning researcher and professor of computer science at Cornell University, known for LMNN, feature hashing, and DenseNet, which won the CVPR 2017 best paper award.

Kristen Grauman

Kristen Grauman is an American computer scientist and professor at the University of Texas at Austin known for visual recognition, egocentric perception, and the Ego4D dataset.

Kunihiko Fukushima

Kunihiko Fukushima (福島邦彦), born 1936, is a Japanese computer scientist who invented the neocognitron, a hierarchical neural network announced in 1979, recognized as the origin of deep convolutional neural networks.

Larry S. Davis

Larry S. Davis is an American computer scientist who founded the University of Maryland's UMIACS and is known for computer vision and the POSIT algorithm.

Laurens van der Maaten

Laurens van der Maaten is a Dutch machine-learning researcher, co-creator of t-SNE with Geoffrey Hinton, a tech lead on Meta's Llama 3, and an Anthropic researcher since 2025.

Lawrence Carin

Lawrence Carin is an American machine-learning researcher and Duke University professor known for Bayesian compressive sensing, who co-founded Signal Innovations Group and Infinia ML and was KAUST provost from 2020 to 2023.

Lee Su-in

Su-In Lee (이수인) is a computer scientist and Boeing Endowed Professor at the University of Washington, known for SHAP, a widely used framework for explaining machine-learning predictions.

Leo Breiman

Leo Breiman (1928–2005) was an American statistician and professor at the University of California, Berkeley, who created bagging and Random Forests, co-created CART, and won the 2005 ACM SIGKDD Innovation Award.

Leopold Aschenbrenner

Leopold Aschenbrenner is a German-born investor and former OpenAI safety researcher who wrote the 2024 essay Situational Awareness and founded the hedge fund Situational Awareness LP.

Leslie P. Kaelbling

Leslie Pack Kaelbling is the Panasonic Professor of Computer Science at MIT, known for reinforcement learning and POMDP research and for founding the Journal of Machine Learning Research.

Leslie Valiant

Leslie Valiant, born 1949, is a Harvard computer scientist who founded computational learning theory, defined the counting class #P, and shaped parallel computing, winning the 2010 Turing Award.