Michael Williams | |
---|---|
Education | Carnegie Mellon University Saint Vincent College |
Scientific career | |
Fields | Particle physics Machine Learning |
Institutions | Massachusetts Institute of Technology Imperial College London |
Thesis | Measurement of the differential cross section and spin density matrix elements along with a partial wave analysis for gamma p to omega p using CLAS at Jefferson Lab |
Doctoral advisor | Curtis Meyer |
Michael Williams is an experimental particle physicist, faculty member at MIT, and inaugural Deputy Director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI).
Williams grew up in suburban Pittsburgh, a city he remained in for his undergraduate and graduate studies. [1] Initially unsure of what he wanted to study or pursue as a career, [2] Williams double-majored in physics and mathematics summa cum laude at Saint Vincent College in 2001 before earning his M.S. and Ph.D. degrees at Carnegie Mellon University under the supervision of Curtis Meyer in 2007. [3] [4] He worked as a postdoctoral fellow at Imperial College London from 2008 until his appointment as a professor in the Laboratory for Nuclear Science at the Massachusetts Institute of Technology in 2012. [5] [6] A tenured professor in the MIT Department of Physics, Williams is also an affiliate member of the MIT Statistics and Data Science Center and the MIT Institute for Data, Systems, and Society. [7] [8]
Through his experimental particle physics research, Williams primarily focuses on "searching for as-yet-unknown particles and forces, possibly components of the dark sector of matter, and on studying largely unexplored emergent properties of QCD." [1] Williams leads the MIT group working on the LHCb experiment, [9] [10] [11] [12] [13] a detector at CERN's Large Hadron Collider (LHC) named for its focus on the bottom quark. He also works on the GlueX experiment at Thomas Jefferson National Accelerator Facility (JLab), which studies a class of particles called mesons. Notably, Williams is also the inaugural deputy director of IAIFI, a new National Science Foundation AI Institute given $20 million in initial funding, and works on the development and use of AI tools for furthering accelerator physics research. [14] [15] [16]
In connection with his work on IAIFI, Williams and colleague Jesse Thaler also created and co-chair a new degree program at MIT, an interdisciplinary PhD in physics, statistics, and data science. [17] [18]
Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania, United States. The institution was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools. In 1912, it became the Carnegie Institute of Technology and began granting four-year degrees. In 1967, it became Carnegie Mellon University through its merger with the Mellon Institute of Industrial Research, founded in 1913 by Andrew Mellon and Richard B. Mellon and formerly a part of the University of Pittsburgh.
The School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania, US is a school for computer science established in 1988. It has been consistently ranked among the best computer science programs over the decades. As of 2024 U.S. News & World Report ranks the graduate program as tied for No. 1 with Massachusetts Institute of Technology, Stanford University and University of California, Berkeley.
Allen Newell was an American researcher in computer science and cognitive psychology at the RAND Corporation and at Carnegie Mellon University's School of Computer Science, Tepper School of Business, and Department of Psychology. He contributed to the Information Processing Language (1956) and two of the earliest AI programs, the Logic Theorist (1956) and the General Problem Solver (1957). He was awarded the ACM's A.M. Turing Award along with Herbert A. Simon in 1975 for their contributions to artificial intelligence and the psychology of human cognition.
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Scott Elliott Fahlman is an American computer scientist and Professor Emeritus at Carnegie Mellon University's Language Technologies Institute and Computer Science Department. He is notable for early work on automated planning and scheduling in a blocks world, on semantic networks, on neural networks, on the programming languages Dylan, and Common Lisp, and he was one of the founders of Lucid Inc. During the period when it was standardized, he was recognized as "the leader of Common Lisp." From 2006 to 2015, Fahlman was engaged in developing a knowledge base named Scone, based in part on his thesis work on the NETL Semantic Network. He also is credited with coining the use of the emoticon.
The Human–Computer Interaction Institute (HCII) is a department within the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania. It is considered one of the leading centers of human–computer interaction research, and was named one of the top ten most innovative schools in information technology by Computer World in 2008. For the past three decades, the institute has been the predominant publishing force at leading HCI venues, most notably ACM CHI, where it regularly contributes more than 10% of the papers. Research at the institute aims to understand and create technology that harmonizes with and improves human capabilities by integrating aspects of computer science, design, social science, and learning science.
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Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.
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Tom Michael Mitchell is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU). He is a founder and former Chair of the Machine Learning Department at CMU. Mitchell is known for his contributions to the advancement of machine learning, artificial intelligence, and cognitive neuroscience and is the author of the textbook Machine Learning. He is a member of the United States National Academy of Engineering since 2010. He is also a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science and a Fellow and past President of the Association for the Advancement of Artificial Intelligence. In October 2018, Mitchell was appointed as the Interim Dean of the School of Computer Science at Carnegie Mellon.
Ziv Bar-Joseph is an Israeli computational biologist and Professor in the Computational Biology Department and the Machine Learning Department at the Carnegie Mellon School of Computer Science.
Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Frederick Joseph Gilman is an American physicist and the Buhl Professor of Theoretical Physics Emeritus at Carnegie Mellon University.
Shinjini Kundu is an Indian American physician and computer scientist at Washington University in St. Louis School of Medicine in St. Louis, Missouri. Her research focuses on designing artificial intelligence systems to detect diseases that may be imperceptible to humans. She was named one of Forbes 30 under 30, MIT Technology Review's 35 innovators under 35, a World Economic Forum Young Global Leader, and a winner of the Carnegie Science Award.
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