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Samantha Kleinberg is an American computer scientist known for her work in causality, artificial intelligence applications in healthcare, and health informatics. [1] She is a professor of computer science at Stevens Institute of Technology in Hoboken, New Jersey and current Farber Chair Professor. [1] [2] [3]
Kleinberg earned a bachelor's, master's, and PhD from NYU in 2006, 2008, and 2010 respectively. She did a post-doc at Columbia from 2010 to 2012. [4]
In 2012, she became a faculty member at Stevens with promotions in 2018 to associate professor and 2024 to full professor. In 2023, she also was appointed to the position of Farber Chair Professor named after David J. Farber. [1] [4] [5]
Kleinberg has written two books in causality and was the editor of a third. A text book titled Causality, Probability, and Time in 2012, a general audience book Why: A Guide to Finding and Using Causes in 2015, and editor to Time and Causality across the Sciences. in 2019. [6] [4]
Kleinberg is a National Science Foundation CAREER Award recipient, a James S. McDonnell Foundation Scholar, and a Kavli Fellow with the National Academy of Sciences. [6] She serves on the editorial boards for Obersvational Studies and the European Journal for Philosophy of Science. She has served on program committees for Conference for Health, Inference and Learning, Machine Learning for Healthcare, AAAI, IEEE, ACM, AMIA, and Grace Hopper Celebration. [3] [6]
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.
Dabbala Rajagopal "Raj" Reddy is an Indian-American computer scientist and a winner of the Turing Award. He is one of the early pioneers of artificial intelligence and has served on the faculty of Stanford and Carnegie Mellon for over 50 years. He was the founding director of the Robotics Institute at Carnegie Mellon University. He was instrumental in helping to create Rajiv Gandhi University of Knowledge Technologies in India, to cater to the educational needs of the low-income, gifted, rural youth. He was the founding chairman of International Institute of Information Technology, Hyderabad. He is the first person of Asian origin to receive the Turing Award, in 1994, known as the Nobel Prize of Computer Science, for his work in the field of artificial intelligence.
Stuart Jonathan Russell is a British computer scientist known for his contributions to artificial intelligence (AI). He is a professor of computer science at the University of California, Berkeley and was from 2008 to 2011 an adjunct professor of neurological surgery at the University of California, San Francisco. He holds the Smith-Zadeh Chair in Engineering at University of California, Berkeley. He founded and leads the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley. Russell is the co-author with Peter Norvig of the authoritative textbook of the field of AI: Artificial Intelligence: A Modern Approach used in more than 1,500 universities in 135 countries.
Daphne Koller is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform. Her general research area is artificial intelligence and its applications in the biomedical sciences. Koller was featured in a 2004 article by MIT Technology Review titled "10 Emerging Technologies That Will Change Your World" concerning the topic of Bayesian machine learning.
Deborah Louise McGuinness is an American computer scientist and researcher at Rensselaer Polytechnic Institute (RPI). She is a professor of Computer, Cognitive and Web Sciences, Industrial and Systems Engineering, and an endowed chair in the Tetherless World Constellation, a multidisciplinary research institution within RPI that focuses on the study of theories, methods and applications of the World Wide Web. Her fields of expertise include interdisciplinary data integration, artificial intelligence, specifically in knowledge representation and reasoning, description logics, the semantic web, explanation, and trust.
Vasant G. Honavar is an Indian-American computer scientist, and artificial intelligence, machine learning, big data, data science, causal inference, knowledge representation, bioinformatics and health informatics researcher and professor.
Jaime Guillermo Carbonell was a computer scientist who made seminal contributions to the development of natural language processing tools and technologies. His extensive research in machine translation resulted in the development of several state-of-the-art language translation and artificial intelligence systems. He earned his B.S. degrees in Physics and in Mathematics from MIT in 1975 and did his Ph.D. under Dr. Roger Schank at Yale University in 1979. He joined Carnegie Mellon University as an assistant professor of computer science in 1979 and lived in Pittsburgh from then. He was affiliated with the Language Technologies Institute, Computer Science Department, Machine Learning Department, and Computational Biology Department at Carnegie Mellon.
Ashwin Ram is an Indian-American computer scientist. He was chief innovation officer at PARC from 2011 to 2016, and published books and scientific articles and helped start at least two companies.
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.
The Department of Computer Science at the University of British Columbia was established in May 1968. UBC CS is located at the UBC Point Grey campus in Vancouver, British Columbia, Canada. As of November 2023, it has 66 faculty, 64 staff, 259 graduate students, and 2,774 undergraduates.
Fei-Fei Li is a Chinese-American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.
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).
Regina Barzilay is an Israeli-American computer scientist. She is a professor at the Massachusetts Institute of Technology and a faculty lead for artificial intelligence at the MIT Jameel Clinic. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology.
Ashutosh Saxena is an Indian-American computer scientist, researcher, and entrepreneur known for his contributions to the field of artificial intelligence and large-scale robot learning. His interests include building enterprise AI agents and embodied AI. Saxena is the co-founder and CEO of Caspar.AI, where generative AI parses data from ambient 3D radar sensors to predict 20+ health & wellness markers for pro-active patient care. Prior to Caspar.AI, Ashutosh co-founded Cognical Katapult, which provides a no credit required alternative to traditional financing for online and omni-channel retail. Before Katapult, Saxena was an assistant professor in the Computer Science Department and faculty director of the RoboBrain Project at Cornell University.
Marzyeh Ghassemi is currently a professor at MIT, leading the Healthy ML lab which develops robust machine-learning algorithms, and works to understand how such models can best inform and improve health-care decisions. She was formerly an assistant professor at the University of Toronto's Department of Computer Science and Faculty of Medicine, holding a Canada CIFAR Artificial Intelligence (AI) chair and Canada Research Chair in machine learning for health.
Finale Doshi-Velez is a computer scientist and the John L. Loeb Professor of Engineering and Applied Sciences at Harvard University. She works on machine learning, computational statistics and healthcare.
Rediet Abebe is an Ethiopian computer scientist working in algorithms and artificial intelligence. She is an assistant professor of computer science at the University of California, Berkeley. Previously, she was a Junior Fellow at the Harvard Society of Fellows.
Yejin Choi is Wissner-Slivka Chair of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.
The MIT Abdul Latif Jameel Clinic for Machine Learning in Health is a research center at the Massachusetts Institute of Technology (MIT) in the field of artificial intelligence (AI) and health sciences, including disease detection, drug discovery, and the development of medical devices. The MIT Jameel Clinic also supports the commercialization of solutions through grant funding, and has partnered with pharmaceutical companies, like Takeda and Sanofi, and philanthropies, like Community Jameel and Wellcome Trust, to forge collaborations between research and development functions and MIT researchers.
Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability. She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University. Lakkaraju is known for her work on explainable machine learning. More broadly, her research focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable. She also investigates the practical and ethical implications of deploying machine learning models in domains involving high-stakes decisions such as healthcare, criminal justice, business, and education. Lakkaraju was named as one of the world's top Innovators Under 35 by both Vanity Fair and the MIT Technology Review.
I'm the Farber Chair Professor in the Computer Science department at Stevens Institute of Technology.
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