Computer scientists and AI researchers

Kenneth Showalter

Kenneth Showalter (1949–2026) was an American physical chemist who spent his career at West Virginia University, known for controlling chaos in the Belousov–Zhabotinsky reaction and realizing chimera states experimentally.

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.

Kobbi Nissim

Kobbi Nissim is a computer scientist, professor at Georgetown University, and co-introducer of differential privacy, the privacy framework used in the 2020 US Census; he won the 2017 Gödel Prize.

Oct 26, 2026

Kostas Tzoumas

Kostas Tzoumas (Κώστας Τζούμας), Greek computer scientist from Ioannina; co-founder and CEO of Berlin's Data Artisans, commercializer of Apache Flink; PhD from Aalborg; sold to Alibaba for a reported 90 million euros in 2019, renamed Ververica.

Krista Lagus

Krista Lagus is a Finnish artificial intelligence and natural language processing researcher, professor of digital social science at the University of Helsinki, known for the WEBSOM document maps and Morfessor morphology models.

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.

Kristen Nygaard

Kristen Nygaard (1926–2002) was a Norwegian computer scientist who, with Ole-Johan Dahl, designed the Simula languages and introduced objects, classes, and inheritance, earning the 2001 Turing Award.

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.

Kurt Akeley

Kurt Akeley is an American computer graphics researcher who led the development of OpenGL and was elected to the National Academy of Engineering in 2005.

Kurt Mehlhorn

Kurt Mehlhorn is a German computer scientist known for work on algorithms, data structures, and computational geometry, and for starting the LEDA library of efficient data types and algorithms.

Larry Page

Larry Page (born 1973) is an American computer scientist and entrepreneur who co-founded Google with Sergey Brin, invented PageRank, and led Alphabet as CEO until 2019.

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.

Larry Tesler

Larry Tesler (Lawrence Gordon Tesler, 1945–2020) was an American computer scientist who created the cut, copy, and paste commands at Xerox PARC and later served as Apple's chief scientist.

László Bélády

László Bélády was a Hungarian-born computer scientist who spent 1961 to 1981 at IBM Research, where he discovered Belady's anomaly and published a 1966 page-replacement study that became the most cited paper in computer software.

László Lovász

László Lovász, born 1948 in Budapest, is a Hungarian mathematician known for the Lovász Local Lemma, the LLL lattice algorithm, and the 2021 Abel Prize, shared with Avi Wigderson.

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.

Lawrence Roberts (computer scientist)

Lawrence Roberts was an American computer scientist who supervised the ARPANET, the packet-switching precursor to the Internet, and later founded the first commercial packet-switched carrier, Telenet.

Leah Buechley

Leah Buechley is a computer scientist, designer, and educator who invented the LilyPad Arduino, a sewable electronics kit, and founded the High-Low Tech group at the MIT Media Lab.

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.

Leila Takayama

Leila Takayama is an American human-robot interaction researcher who has held research roles at Willow Garage and Google X and is now Vice President of design and HRI at Robust.AI.

Lenore Blum

Lenore Blum (born 1942) is an American mathematician and computer scientist known for the Blum–Shub–Smale theory of computation over the real numbers and for advancing women in computing at Carnegie Mellon.

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.

Leonard Adleman

Leonard Adleman, born 1945, is an American computer scientist at the University of Southern California who co-invented the RSA cryptosystem in 1977 and founded DNA computing in 1994.

Leonard Kleinrock

Leonard Kleinrock, born 1934, is an American computer scientist at UCLA whose mathematical theory of packet switching underpinned the Internet; his lab sent the first ARPANET message in 1969.

Leonardo de Moura

Leonardo de Moura is a Brazilian computer scientist who created the Z3 SMT solver and Lean theorem prover, and co-founded the Lean FRO at AWS.

Leonid Levin

Leonid Anatolievich Levin (Леони́д Анато́льевич Ле́вин) is a Soviet-born American computer scientist at Boston University who independently discovered NP-completeness alongside Stephen Cook and won the 2012 Knuth Prize.

Leonid Rudin

Leonid (Lenny) Rudin is an American computer scientist, co-author of the landmark 1992 Rudin–Osher–Fatemi total-variation denoising paper and co-founder and CEO of Cognitech, a Santa Monica forensic video analysis firm.

Leonidas Guibas

Leonidas Guibas is a Stanford computer scientist known as a founder of computational geometry, for the quad-edge data structure, and for shape analysis and geometric deep learning.