Wei Wang, Leonard Kleinrock Professor of Computer Science. She is the founding director of the Scalable Analytics Institute, UCLA. She received a MS degree from the State University of New York at Binghamton in 1995 and a PhD degree from UCLA in 1999. She was a professor at the University of North Carolina at Chapel Hill from 2002 to 2012 and a research staff member at the IBM T. J. Watson Research Center between 1999 and 2002. Dr. Wang’s research interests include big data analytics, data mining, bioinformatics and computational biology, natural language processing, health informatics, and databases. She is the recipient of the IBM Invention Awards, Microsoft Research New Faculty Fellow, Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement, Okawa Research Award, IEEE ICDM Outstanding Service Award, ACM SIGKDD Service Award, and multiple best paper awards. Dr. Wang is a pioneer in applying data mining methods to biomedical domains. She is also a member of the NIH HeartBD2K Center led by Dr. Peipei Ping and co-directs the BD2K Centers-Coordination Center.
Faculty in Core Areas
Junghoo (John) Cho, Professor of ComputeScience. He received a Ph.D. degree in Computer Science from Stanford University and a B.S. degree in physics from Seoul National University. His main research interests are in the study of the evolution, management, retrieval and mining of information on the World-Wide Web. He is a recipient of the 10-Year Best-Paper Award at VLDB 2010, NSF CAREER Award, Best Paper Award in ICDE 2005, IBM Faculty Award, Okawa Research Award, Northrop Grunmann Excellence in Teaching Award and Dr. Stevenson Award for Best Faculty-in-Residence.
D. Stott Parker, Jr. Professor of Computer Science. Dr. Parker received the A.B. in Mathematics cum laude from Princeton in 1974. He completed his M.S. and Ph.D. at the University of Illinois at Urbana in 1976 and 1978, respectively. Following a period of postdoctoral research at the Universite de Grenoble in France he joined the Faculty of the UCLA Computer Science Department in 1979. His current interests center around data mining in general, and biological databases in particular. Dr. Parker is currently an investigator in the UCLA Center for Computational Biology (an NIH NCBC center directed by Arthur Toga), the UCLA Center for Neuropsychiatric Phenomics (an NIH project directed by Bob Bilder).
Yizhou Sun, assistant professor at Computer Science. Prior to that, she joined Northeastern University as an assistant professor in 2013. Dr. Sun received her Ph.D. degree from Computer Science Department, University of Illinois at Urbana Champaign (UIUC) in December 2012. She got her master degree and bachelor degrees in Computer Science and Statistics from Peking University, China. her research interest include Large-Scale Information Network Analysis, Social Network, Link Analysis Graph Mining, Web Mining, Text Mining, Data Mining, Database Systems, Statistics, Machine Learning, Information Retrieval, Network Science. In 2019, Dr. Sun is a recipient of the Okawa Research Grant. More about her Research.
Carlo Zaniolo, Professor of Computer Science. He received an E.E. Engineer degree at Padua University in 1968, and M.S. and Ph.D. degrees in Computer Science at UCLA in 1970 and 1976, respectively. After working at Bell Laboratories, Murray Hill, NJ, and MCC in Austin Texas, Dr. Zaniolo joined the UCLA CS Department in 1991, and was awarded the N.E. Friedmann Chair in Knowledge Science. Dr. Zaniolo’s interests include database systems, knowledge base systems, non-monotonic reasoning, web information systems and Data Mining. He has received several best-paper awards.
Alex Bui, Professor of Radiological Sciences, Bioengineering, and Bioinformatics. He received his PhD in computer science in 2000 from UCLA, after which he joined the UCLA Medical Imaging Informatics (MII) group. His research encompasses distributed information systems for healthcare and biomedical research; predictive modeling methods, and clinical data visualization. He is the current director of UCLA MII and its longstanding funded training program, and leads the NIH-funded Los Angeles PRISMS site, an mHealth informatics Center. He leads multiple research programs in biomedical data science and imaging informatics. He co-directs the BD2K Centers-Coordination Center.
Peipei Ping, Professor of Medicine/Cardiology, Physiology, and Bioinformatics. She received her PhD in cardiovascular physiology in 1990, subsequently completing fellowships in vascular biology and molecular cardiology. She is an internationally-recognized researcher in proteomics, mitochondrial biology in the heart, and computational biology. Her efforts have pioneered several major advances that have shifted paradigms in cardiovascular research, including new data science solutions and software to promote participation in the analysis, annotation, and reuse of large-scale biomedical datasets for cardiovascular precision medicine. She has been recognized numerous times for her contributions to the field by multiple scientific societies (e.g., AHA, HUPO, etc.). She is the Director of HeartBD2K, a BD2K Center of Excellence at UCLA; and also leads the BD2K Centers-Coordination Center.
Kai-Wei Chang, Assistant Professor in the department of Computer Science at UCLA. He received his M.S. Degree in Computer Science from National Taiwan University in 2009 and Ph.D degree in 2015 from University of Illinios Urbana-Champaign. His research focuses on building intelligence systems that solve real-world problems by automatically acquiring knowledge. Dr. Chang has publications broadly in machine learning, natural language processing, artificial intelligence, and data mining. He also won the Okawa Research Grant award in 2018 and multiple best paper award, including KDD 2010.
QuanQuan Gu, Assistant Professor of Computer Science at UCLA. He received his PhD degree in Computer Science from University of Illinois at Urbana Champaign in 2014. He leads the center of Statistical Machine Learning lab. Dr. Gu’s researches focus on developing and analyzing non-convex optimization algorithms for machine learning to understand large-scale, dynamic, complex and heterogeneous data, and building the theoretical foundations of deep learning. He is also a recipient of Simons Berkeley Research Fellowship 2019, Salesforce Deep Learning Research & Adobe Data Science Research 2019 and NSF Career Award in 2017.
Cho-Jui Hsieh, Assistant Professor of Computer Science at UCLA. He received his PhD degree from University of Texas at Austin in 2015. He leads UCLA Computational Machine Learning Lab. Dr. Hsieh is interested in developing new algorithms and optimization techniques for large-scale machine learning problems, developing new machine learning models, as well as improving model size, training, speed, prediction speed and robustness of popular models. In addition to that, Dr. Hsieh has won multiple best paper awards, including ICPP 2018, ICDM 2012, KDD 2010.
Andrea Bertozzi, Distinguished Professor of Mathematics & Mechanical and Aerospace Engineering and Director of Applied Mathematics. Dr. Bertozzi is also member of the California Nanosystems Institute.
Research interests: Nonlinear partial differential equations, applied mathematics
Sean Young, Associate Professor of Family Medicine at UCLA. He is also the Executive Director of the University of California Institute for Prediction Technology.
Research areas: using social “big data” to monitor and predict public health issue and designing & using technologies to address public health and medical issues.
Weizhe Hong, Assistant Professor of Biological Chemistry & Neurobiology at the UCLA, David Geffen School of Medicine.
Research interests: focusing on cellular and molecular mechanisms of wiring specificity during olfactory system development.
Jason Cong, Distinguished Chancellor’s Professor of Computer Science department, UCLA. He is the Director of Center for Customizable Domain-Specific Computing & VLSI Architecture, Synthesis and Technology Laboratory.
Research interests: electronic design automation, energy-efficient computing, customized computing for big-data applications, and highly scalable algorithms.
Todd Millstein, Professor of Computer Science
Research: programming language design,
static type systems; program analysis,
software model checking; formal methods, compilers
Vwani Roychowdhury, Professor of ElectricalEngineering
Research: models of computation, quantum and nanoelectronic computation, quantum information processing, fault-tolerant computation, combinatorics and information theory, advanced statistical processing, and adaptive algorithms
Kang Wang, Professor of Electrical Engineering
Research: Nanoelectronics and nanoarchitectures, Spintronics and Nanomagnetics; nanoscale science, devices and quantum systems; nonvolatile electronics and low dissipation devices; molecular beam epitaxy; optoelectronics and solar cells.
Lixia Zhang, Professor of Computer Science, UCLA.
Research: Internet architecture & protocol designs;
Security in large scale & open systems.