Denice Dee Denton was an American professor of electrical engineering and academic administrator. She was the ninth chancellor of the University of California, Santa Cruz.
Rosetta@home is a distributed computing project for protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker laboratory at the University of Washington. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 GigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness of proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease, and other pathologies.
Michael Levitt, is a South African-born biophysicist and a professor of structural biology at Stanford University, a position he has held since 1987. Levitt received the 2013 Nobel Prize in Chemistry, together with Martin Karplus and Arieh Warshel, for "the development of multiscale models for complex chemical systems". In 2018, Levitt was a founding co-editor of the Annual Review of Biomedical Data Science.
Computational science and engineering (CSE) is a relatively new discipline that deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design as well as natural phenomena. CSE has been described as the "third mode of discovery".
David Baker (born October 6, 1962, in Seattle, Washington is an American biochemist and computational biologist who has pioneered methods to predict and design the three-dimensional structures of proteins. He is the Henrietta and Aubrey Davis Endowed Professor in Biochemistry and an adjunct professor of Genome Sciences, Bioengineering, Chemical Engineering, Computer Science, and Physics at the University of Washington. He serves as the Director of the Rosetta Commons, a consortium of labs and researchers that develop biomolecular structure prediction and design software. He is a Howard Hughes Medical Institute investigator and a member of the United States National Academy of Sciences. He is also the director of the University of Washington's Institute for Protein Design.
In computational biology, de novo protein structure prediction refers to an algorithmic process by which protein tertiary structure is predicted from its amino acid primary sequence. The problem itself has occupied leading scientists for decades while still remaining unsolved. According to Science, the problem remains one of the top 125 outstanding issues in modern science. At present, some of the most successful methods have a reasonable probability of predicting the folds of small, single-domain proteins within 1.5 angstroms over the entire structure.
Arieh Warshel is an Israeli-American biochemist and biophysicist. He is a pioneer in computational studies on functional properties of biological molecules, Distinguished Professor of Chemistry and Biochemistry, and holds the Dana and David Dornsife Chair in Chemistry at the University of Southern California. He received the 2013 Nobel Prize in Chemistry, together with Michael Levitt and Martin Karplus for "the development of multiscale models for complex chemical systems".
Kurt Mehlhorn is a German theoretical computer scientist. He has been a vice president of the Max Planck Society and is director of the Max Planck Institute for Computer Science.
Anders Krogh is a bioinformatician at the University of Copenhagen, where he leads the university's bioinformatics center. He is known for his pioneering work on the use of hidden Markov models in bioinformatics, and is co-author of a widely used textbook in bioinformatics. In addition, he also co-authored one of the early textbooks on neural networks. His current research interests include promoter analysis, non-coding RNA, gene prediction and protein structure prediction.
S. Shankar Sastry is a former Dean of Engineering at University of California, Berkeley.
Gajendra Pal Singh Raghava is an Indian bio-informatician and head of computational biology at the Indraprastha Institute of Information Technology.
Sung-Mo “Steve” Kang is an electrical engineering scientist, professor, author, inventor, entrepreneur and 15th president of KAIST. Kang was appointed as the second chancellor of the University of California, Merced in 2007. He was the first department head of foreign origin at the electrical and computer engineering department at the University of Illinois at Urbana-Champaign. Dr. Kang teaches and has written extensively in the field of computer-aided design for electronic circuits and systems; he is recognized and respected worldwide for his outstanding research contributions. Dr. Kang has led the development of the world’s first 32-bit microprocessor chips as a technical supervisor at AT&T Bell Laboratories and designed satellite-based private communication networks as a member of technical staff. Dr. Kang holds 15 U.S. patents and has won numerous awards for his ground breaking achievements in the field of electrical engineering.
David Albert Huffman was an American pioneer in computer science, known for his Huffman coding. He was also one of the pioneers in the field of mathematical origami.
Burkhard Rost is a scientist leading the Department for Computational Biology & Bioinformatics at the Faculty of Informatics of the Technical University of Munich (TUM). Rost chairs the Study Section Bioinformatics Munich involving the TUM and the Ludwig Maximilian University of Munich (LMU) in Munich. From 2007-2014 Rost was President of the International Society for Computational Biology (ISCB).
Lise Getoor is a professor in the computer science department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor. She is a board member of the International Machine Learning Society, has been a member of AAAI Executive council, was PC co-chair of ICML 2011, and has served as senior PC member for conferences including AAAI, ICML, IJCAI, ISWC, KDD, SIGMOD, UAI, VLDB, WSDM and WWW.
Jianlin Jack Cheng is the William and Nancy Thompson Missouri Distinguished Professor in the Electrical Engineering and Computer Science (EECS) Department at the University of Missouri, Columbia. He earned his PhD from the University of California-Irvine in 2006, his MS degree from Utah State University in 2001, and his BS degree from Huazhong University of Science and Technology in 1994.
Kimmen Sjölander is Professor Emerita at the University of California, Berkeley in the Department of Bioengineering. She is well known for her work on protein sequence analysis.
AlphaFold is an artificial intelligence (AI) program developed by Alphabet's/Google's DeepMind which performs predictions of protein structure. The program is designed as a deep learning system.
Barry H. Honig is an American biochemist, molecular biophysicist, and computational biophysicist, who develops theoretical methods and computer software for "analyzing the structure and function of biological macromolecules."
Lukasz Kurgan is the Robert J. Mattauch Endowed Professor of Computer Science at the Virginia Commonwealth University, in Richmond, Virginia, U.S.A. He was a Professor at the University of Alberta between 2003 and 2015. Dr. Kurgan earned his Ph.D. in computer science from the University of Colorado at Boulder in 2003 and his M.Sc. degree in automation and robotics from the AGH University of Science and Technology in 1999.
