PhD, MS, Utah State University; MS, BS: Lebanese American University
Abbass Sharif’s specialty is in the field of statistical computing and data visualization. Professor Sharif has developed and published new multivariate visualization techniques for functional data and currently he is developing visualization techniques to study brain activity data collected via the near-infrared spectroscopy (NIRS) technology. Professor Sharif teaches statistics courses that range from introductory statistics to data analysis for decision-making through to advanced modern statistical learning techniques.
PhD, Carnegie Mellon University; BA, BS, The Hebrew University
Yehuda Bassok's research interests include supply chain management, design and analysis of purchasing contracts, management of centralized and decentralized inventory systems, and bargaining within supply chains. His research has been published in many top journals, including Management Science and Operations Research. Prior to joining USC, he was on the faculty of Northwestern University and a visiting professor at the University of Washington. Professor Bassok served as chief system analyst of SES, a company that specialized in developing real time data collection and scheduling systems. Professor Bassok has received several teaching awards, including Marshall's Golden Apple Award in 2003.
Cornell University BA, Dean's list,TA/instructor at multiple places
Cornell University, TA/instructor at multiple places
Arsames Qajar is a professor in the DSO Department at the USC Marshall School of Business where he teaches database architecture. He is also the CTO of OurOffice, an AI powered SaaS enterprise platform for managing Diversity and Inclusion. OurOffice is creating the first, true science of diversity and inclusion to dissect and anticipate issues while also, and most importantly, providing pertinent, impactful solutions to organizations. At OurOffice, we are building the future for a more equitable, inclusive workplace.
Arsames is also a hands-on full-stack software engineer, Women Who Code mentor, and startup advisor.
PhD, MS, University of Southern California; MTech, IIT- Madras; BEng, Anna University
Arif Ansari is an expert in the area of data mining, business intelligence, data warehousing, and intelligent systems and technologies, a field in which he has fifteen years of research experience. He has published in IEEE Transactions on Systems and Man and Cybernetics. Professor Ansari received Marshall's Golden Apple Award in 2006.
Richard W. Selby is a Director of Software Products at Northrop Grumman Aerospace Systems in Redondo Beach, CA. He leads a 250-person software organization and has served in this position since 2001. Previously, he was the Chief Technology Officer and Senior Management Company (PIMCO) in Newport Beach, CA where he managed a 105-person organization for three years. From 1985-1998, he was a Full Professor of Information and Computer Science (with tenure) at the University of California in Irvine, CA (UC Irvine).
PhD, Utah State University; MS, BS, Vilnius University
Robertas Gabrys has research interest in functional data analysis and its applications in environmental sciences, financial econometrics, and space physics; statistical computing, and actuarial mathematics. His work has been published in the Journal of the Royal Statistical Society, Journal of Multivariate Analysis, Journal of the American Statistical Association, and Austrian Journal of Statistics.
Prior to the KPMG acquisition of Wise Window, Inc., a data analytics company, in April 2012, Sid Mohasseb was the Chief Executive Officer and Chairman of the Board for Wise Window, Inc. At KPMG, he is a Managing Director for Data Analytics and the national lead for Data Analytics Driven Dynamic Strategy & Execution practice as well as a member of the KPMG US DA leadership team. Additionally, he is an Adjunct professor at University of Southern California (USC) Marshall Business School as well as Argyros School of Business and Economics at Chapman University.
Inga Maslova is an applied statistician specializing in time series analysis, machine learning, wavelet techniques, functional data analysis, big data, and applications to finance, business analytics, economics, hydrology, remote sensing, precision agriculture, and climate change problems.
She has taught and developed courses in statistical learning, business statistics, data analytics and visualization. To her classroom she brings her own experience from consulting for Cisco, working with the World Bank on business cycle synchronization; analyzing drone data to help farmers make better crop management decisions at Utah Water Research Lab; using statistical learning models to forecast commodity prices.
In 2018 she received a Golden Apple Teaching Award for teaching excellence.
Before joining USC, Inga was a faculty at American University, Washington DC.
She received her BS (Summa Cum Laude) in Mathematical Statistics from Vilnius University, Lithuania; MS and PhD in Statistics from Utah State University.
Milan Miric joined the IS Group within the DSO Department in 2016. His research tries to understand basic questions about how firms can capture and create value in digital industries. In particular, his research tries to understand how the unique structural features of digital industries (network effects, low costs of innovating, non-monetary motivations) influence the process by which firms capture and create value. His work is largely empirical combining large-scale panel datasets with interviews and field work. His research work draws heavily on insights from psychology, economics, and sociology but tries to contribute to the literature on information systems and innovation.
As Chief Analytics and Science Officer for ID Analytics , Dr. Stephen Coggeshall has worked closely with the executive team since the company’s inception, and has been instrumental in building their initial technical team and product roadmap. Coggeshall has spent his 20-plus year career leading scientists to build practical solutions to difficult business programs using advanced analytics. Coggeshall holds a M.A., M.S. and Ph. D. from the University of Illinois, and a B.A. and B.S. from Southern Illinois University at Edwardsville.
PhD, MS, Princeton University; BS, University of Science and Technology of China
Yingying Fan's research interests include high dimensional statistical inference, classification and variable selection, nonparametric statistics, and financial econometrics. Her papers have been published in journals including the Annals of Statistics, Journal of the American Statistical Association, Journal of Econometrics, and Journal of Financial Econometrics. She was Lecturer in the Department of Statistics at Harvard University from 2007-2008. She is the recipient of National Science Foundation Grant (2009-2012, PI), 2010 Zumberge Individual Award from USC's James H. Zumberge Faculty Research and Innovation Fund (2010-2011, PI), and 2010 Dean's Award for Research Excellence. She also serves in the membership committee of the International Chinese Statistical Association (2009-Present).
PhD, University of Maryland; MA, State University of New York, Buffalo; BS, Nankai University
Lan Luo studies new product development and marketing implications of new product launches. Her research has been published in Marketing Science and Journal of Marketing Research, among other journals. Professor Luo is the recipient of the John D.C. Little Award, the Donald R. Lehmann Award, and is a finalist for the Paul E. Green Award. Each is a major research award in the field of marketing. She has also been granted the Dean’s Research Excellence Award at the Marshall School of Business. In 2011, Professor Luo was named as a MSI Young Scholar, awarded once every two years to scholars mostly likely to be "potential leaders of the next generation of Marketing academics". She also received Marshall's Golden Apple Award for her teaching excellence.
PhD, Princeton University; BS, University of Toronto
Xin Tong's research interests are in the areas of high dimensional statistical inference, learning theory, and social and economic networks. He has published papers in journals that include Journal of the Royal Statistical Society: Series B and the Journal of Machine Learning Research. Professor Tong won The Zellner Thesis Award in Business and Economic Statistics 2013.
PhD, Princeton University; MS, BS, University of Science and Technology of China
Jinchi Lv's research interests include high dimensional statistical inference, variable selection and machine learning, financial econometrics, and nonparametric and semiparametric methods. His papers have been published in the Annals of Statistics, Journal of the Royal Statistical Society Series B, Statistica Sinica, Journal of Econometrics, and Journal of Financial Econometrics. He serves as an associate editor of Statistica Sinica since 2008. He is the recipient of National Science Foundation CAREER Award, National Science Foundation Grant, 2008 Zumberge Individual Award from USC's James H. Zumberge Faculty Research and Innovation Fund, and 2009 Dean's Award for Research Excellence.
PhD, Stanford University; BSc, BCom, University of Auckland
Gareth James is currently serving as the Interim Dean of the Marshall School of Business. He is an expert on statistical methodology in the areas of functional data analysis and high dimensional statistics, with particular application to marketing problems. Professor James has published extensively and is a co-author of one of the leading books on statistical learning methods. He teaches both MBA and PhD courses ranging from introductory statistics through to advanced modern non-linear regression techniques. He has won several research and teaching awards, including two Deans awards for Research Excellence and three Golden Apple awards for his MBA courses. Dr. James has also served as the PI or Co-PI on several NSF research grants and as an Associate Editor for journals such as JASA, JRSSB and Operations Research. He is an elected Fellow of the American Statistical Association and a life member of the Institute of Mathematical Statistics.
PhD, University of Pittsburgh; MS, West Virginia University; BS, Virginia Tech
Anthony Dukes studies the economics of marketing strategies, particularly as it applies to pricing, retail and distribution channels, and antitrust. Professor Dukes’ research has appeared in the Journal of Marketing Research, Marketing Science, Management Science, and other leading academic journals. He teaches pricing strategies and the core marketing management course in Marshall’s MBA.PM program. He is an associate editor of the Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics.
Peng is interested in developing quantitative methodologies for the betterment of society. His current research focuses on optimization in matching markets, with applications in school choice, public housing, and online marketplaces. His research on school choice has won multiple awards, including the ACM SIGecom Doctoral Dissertation Award, the INFORMS Public Sector Operations Best Paper Competition, and the INFORMS Doing Good with Good Operations OR Student Paper Competition. Prior to joining USC, he completed a PhD in operations research at MIT, and was a post-doctoral researcher at Microsoft Research.
Vivek Sharma teaches business innovation to graduate data science & MBA students at USC Marshall. He is CEO & Founder of InStride, a learning services enterprise designed to achieve significant social impact through partnerships with universities and employers, providing employees the opportunity to earn the highest-quality degrees.
Previously, Vivek was SVP, Digital Guest Experience & eCommerce for Disney Parks, Experiences & Products, where he led global eCommerce, physical-digital convergence and AI integration. Vivek also served as GM of Yahoo! Mail & Messenger, VP of product management for Yahoo! Search & Commerce, and as an associate partner in McKinsey & Company’s Technology practice. He graduated from Indian Institute of Technology and holds an MBA from INSEAD.
WF Umi Hsu (pronouns: they/them) leads design strategy, digital and data initiatives at the City of Los Angeles Department of Cultural Affairs. Hsu is a strategic designer and public humanist who engages with research and organizing agendas for equity in arts, technology, and civic life. They have received fellowships and awards from National Endowment for the Arts, American Council for Learned Society, Shuttleworth Foundation, GovTech, and LA Metro. Hsu currently teaches digital analytics strategy in the MS Business Analytics program at USC Marshall and in the MFA in Media Design Practices program at ArtCenter College of Design.