School of Business Analytics and Marketing

Dr Vicki Andonopoulos is currently a Lecturer in the Discipline of Marketing at The University of Sydney Business School. She obtained her PhD and Honours (Class 1) from the University of New South Wales (UNSW). Vicki's research uses experimental design to examine the cross-section between psychology of consumer behavior and social media marketing strategies. She has a particular interest in authenticity on social media and leveraging online customer input to generate innovation opportunities.

BEc(Hons), PhD Sydney

Dr. Christina I. Anthony is a lecturer and consumer psychologist in the Discipline of Marketing at the University of Sydney Business School. She received her PhD in Marketing and a Bachelor of Economics with Honours (Class I and the University Medal) from the University of Sydney and was awarded an ARC Discovery Grant Postdoctoral Fellowship. Her research has been published in leading UTD24/FT50 journals, including the Journal of Consumer Research, and has been featured in major media outlets such as the Wall Street Journal, BBC News, NBC News, the Australian Financial Review, the Sydney Morning Herald, The Atlantic, SBS World News, Channel 7 News, ABC News, 7:30 Report and 2UE Radio. Christina teaches Consumer Behaviour and has received awards for her teaching excellence, including the Dean’s Award for Teaching.

Dr Christina Anthony is an expert in consumer behaviour and the psychology of how people think, feel, and behave in social and marketplace contexts. Her research explores the emotional, motivational, and social factors that shape decision-making, interpersonal interactions, and everyday consumer behaviour, such as how people engage and respond to deception, manage emotions, or make judgments and choices in marketplaces.

Marketplace deception and lying

Christina studies marketplace deception and the psychology of lying, with a focus on "the lies consumers tell". Using experimental methods, her research explores when and why consumers lie, how deception shapes thoughts, feelings, and decisions, and how people respond when they are deceived. She also examines the consequences of deception for outcomes such as satisfaction, memory, and relationships. Her work spans a range of contexts, from negotiations, retail, and online interactions to broader social settings, including interpersonal relationships and digital environments. By examining these emotional and cognitive processes, her research advances understanding of the psychological mechanisms underlying deception and decision-making in both consumer and social contexts.

Emotions, motivation, and goal pursuit

Christina is also interested in how people manage their emotions, stay motivated, and pursue goals across social and marketplace contexts. She examines relationship dynamics and emotion regulation during interpersonal exchanges, and how these processes influence decision-making and behaviour in everyday interactions, including contexts such as gambling and social media.

Broader impact

Through this work, Christina seeks to uncover the mechanisms that drive behaviour in both social and marketplace settings, with implications for improving social, financial, and emotional wellbeing in consumer and interpersonal interactions.

Keywords: consumer behaviour, decision-making, emotions, emotion regulation, motivation, social influence, relationship dynamics, marketplace deception, lying, trust, gambling behaviour, social media.

Lisa is a market system, food, retailing, and supermarket expert, who does applied research bridging academia and industry. Her industry focus of markets-as-networks within retailing for consumption, means her research intersects with retail, commercialisation (marketing), micro-economics, public policy, and law, as she prioritises social impact. The themes which fall within this are competition, strategy, sustainability, innovation, store brands, stakeholders, B2B, and markets-as-networks (industry).

As one of the few Māori (or First Nations) marketing and commercialisation scholars in ANZ, Lisa integrates her indigneous philosophy, cultural knowledge, and understanding to influence her research and teaching. This includes incorporating this to improve social and environmental sustainability, modern diets, and sustainable innovation. In teaching this translates to embedding cultural respect and curiosity beyond what we see so that we can grow.

Lisa also brings a wealth of industry experience from the food, grocery, and broader retail industry, having spent ~20 years in various commercial roles from a junior analyst to senior leadership, in leading multinational organisations, regional food production, and startups. She has worked and engaged with all grocery retailers across both ANZ, and most non-supermarket majors retailers and channels in ANZ.

BA(Hons) PhD

Robert Bartels currently works at the School of Business Analytics and Marketing, University of Sydney. Robert does research in Econometrics, Energy Economics and Statistics.

Stacey Brennan is Professor of Marketing at the University of Sydney Business School. Her research examines how language, brand design, and the use of celebrities and influencers shape consumer perception, judgment, and behaviour. Her work explores how subtle cues, including word choice, rhetorical framing, visual symbolism, and spokesperson characteristics, influence responses to brands and marketing communications. Drawing on a strong foundation in experimental design and statistical methods, she uses multiple research methods, including online and laboratory experiments, analytical modelling, and text analysis.

Her work has been published in leading journals, including the Journal of Marketing, Journal of Consumer Psychology, International Journal of Research in Marketing, and European Journal of Marketing. She has secured over $900,000 in external research funding, individually and as part of collaborative teams. This includes a $708,144 National Health and Medical Research Council (NHMRC) Partnership Project grant awarded in 2026, on which she is a Chief Investigator examining how influencers can help translate evidence into health policy in Australia (2027-2031).

Stacey works with industry partners to translate research into practical outcomes. Her collaboration with Hunter Water on drought communication strategies informed water conservation campaigns and contributed to a sustained reduction in household water consumption across the Hunter Region. Her research has also informed industry practice in advertising and celebrity endorsement, while her work on gambling behaviour has contributed to evidence translation and harm reduction initiatives.

Stacey holds a PhD (2008), a Graduate Certificate in Statistics (2003), and a Graduate Diploma in Analytics (2025). A committed educator and research supervisor, she has taught undergraduate and postgraduate units in Marketing Research, Marketing Communications, and Brand Management. She also holds a Graduate Certificate in Tertiary Teaching (2012) and has supervised numerous Honours, and PhD students to completion. Her supervision was recognised with a 2025 SUPRA Supervisor of the Year Award. She has also received multiple teaching awards, including a Vice-Chancellor’s Award for Teaching Excellence and Contribution to Student Learning at the University of Newcastle.

Stacey served as Head of Discipline (Marketing) at the University of Sydney from 2022 to 2025 and received the University of Sydney Business School’s Leadership Excellence Award in 2024. Before joining Sydney, she held a continuing academic appointment at Newcastle Business School, where her leadership roles included Head of Marketing Discipline, Deputy Head of School (Teaching and Learning), and Director of Accreditation.

PhD BS Stan. MBA Calif.

Donnel's PhD is from Stanford University, where he also received a B.S. in mechanical engineering. In addition, he completed an M.B.A. at University of California, Berkeley and a post-graduate program in political economics at the Institut d'Etudes Politiques de Paris, France. His research has studied the influence of culture, ethnicity and political ideology on consumers' judgments and decisions; improving consumer health; and donations. This work  has been published in top marketing and psychology journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Consumer Psychology and Social Cognition. In 2001, he won the award for best dissertation-base article in the Journal of Consumer Research.

Donnel lived in the United States, France and Hong Kong before coming to University of Sydney. Prior to his academic career, he was a management consultant at Price Waterhouse Coopers, San Francisco, where he specialized in international strategy issues.

Editorial Positions: Journal of Public Policy and Marketing (Associate Editor), Journal of Consumer Research, Journal of Marketing

B.Bus, M.Ed, PhD (UTS)

Professor Peter Bryant is an award-winning academic with international expertise in designing and delivering successful strategic educational change in both business and social sciences institutions. He has thirty years of teaching and research experience in both the UK and Australia, in the areas of higher education strategy, educational innovation, online learning and creative industries management.

He has worked as an academic and educational leader in several leading UK and Australian institutions prior to joining the University of Sydney Business School, including the London School of Economics and Political Science, the University of Greenwich and Middlesex University. He holds a PhD in Management from the University of Technology, Sydney.

Peter is the Co-Director of the Disruptive Innovations in Business Education Research Group. This active and transformative group seeks to better understand the futures of business education in a post-pandemic world and the role of business education is educating leaders for good. He is an active researcher and speaker on innovative teaching and learning, educational spaces, learning technology, the future of Business School education and opportunities of student co-design.

Li Chen is a Lecturer (Assistant Professor) in the Discipline of Business Analytics at the University of Sydney Business School. His research focuses on decision-making under uncertainty.

Prior to joining the University of Sydney, he was a research fellow at the Institute of Operations Research and Analytics (IORA) within the National University of Singapore (NUS), where he also graduated with a PhD degree in Operations Research and Analytics. Before that, Li completed his bachelor degree from the University of Science and Technology of China (USTC) in Computational Mathematics.

Wilson (Ye) Chen is a Senior Lecturer. He received a PhD in Financial Econometrics from the University of Sydney. Prior to returning to the University of Sydney as a Lecturer in April 2020, he was a post-doctoral fellow at the University of Technology Sydney, and then an Assistant Professor at the Institute of Statistical Mathematics in Japan. Wilson's current research aims to develop efficient computational methods for Bayesian inference, as well as statistical tools for the analysis of financial time series data.

PhD ImpLond M.Phil Chinese HK BSc(Hons) Leeds

Boris Choy received his PhD in Statistics from Imperial College London (Supervisor: Prof Sir Adrian Smith), an MPhil in Statistics from the Chinese University of Hong Kong (Supervisor: Prof Yeh Lam), and a BSc. (First Class Honours) in Mathematics from the University of Leeds.

Boris Choy's primary research interests lie in the robust statistical analysis of financial time series and insurance data, with a particular emphasis on heavy-tailed distributions using Bayesian computational methods and scale-mixture density representations. In financial applications, his work focuses on GARCH and stochastic volatility models. In insurance applications, he concentrates on the accurate calculation of premiums and the prediction of loss reserves. His broader research interests also include option pricing, statistical consulting, and survival analysis in finance, accounting, health and medicine.

Boris Choy has published in leading journals, including the Journal of the Royal Statistical Society: Series B, European Journal of Operational Research, ASTIN Bulletin, Insurance: Mathematics and Economics, and the Journal of Financial Econometrics. He was awarded Chartered Statistician (CStat) status by the Royal Statistical Society (UK) in 2002 and the status of Elected Member of the International Statistical Institute (ISI) in 2013.

Boris Choy has received numerous teaching awards, including Discipline Teaching Excellence Awards (2010, 2022), the inaugural University of Sydney Business School Students’ Choice Award for Teaching (2013), the Wayne Lonergan Outstanding Teaching Award (2015), the inaugural Vice-Chancellor’s Award for Outstanding Teaching (2016), and multiple subject-based teaching awards.

Boris Choy is a Co-Lead of the Time Series and Forecasting Research Group at the University of Sydney Business School and has served as Chair or Co-Chair of the Time Series and Forecasting Symposium series since 2017.

Dr Bern Conlon has expertise in market research, specialising in choice modelling and marketing mix modelling, and has consulted for a wide range of domestic and international companies, across a range of sectors, in particular FMCG, Telecommunications, Finance, Transport, and Government. He has also held senior quantitative analyst roles in the financial industry developing models for market and credit risk, for Australia’s largest financial institutions, including the implementation of the Basel Accords. He holds a PhD in Econometrics from Tilburg University, The Netherlands, as well as Honours and Masters degrees in Economics from The University of Sydney.

Dr Conlon has extensive teaching experience having lectured Undergraduate, Postgraduate and PhD, courses for the Business School and the School of Economics, in the areas of business analytics, financial time series and actuarial risk modelling.

Teresa's main research interests lie in two areas. The first is in children as consumers, of particular interest is the relationship between advertising and the digital marketing of food to children. The second area is culture and consumption where her interests lies in examining 'cultures of transition' such as consumption of/in childhood and migrant groups. Related areas of research include the socio-historical analyses of culture and consumption and the representation of family and food in advertising.

Teresa has published articles in Marketing Theory, European Journal of Marketing, Sociology, Journal of Marketing Management, Consumption Markets and Culture and others. She has presented papers at many international conferences and invited seminars. Her teaching interests lie in Consumer Behaviour, and Social Marketing.

Teresa is Co-Convenor of theAustralian Food, Culture and Society Networkand a Partner Investigator ofLeverhulme International Research Network Grant Project: Discursive Familiesproject.

Qin Fang is a Lecturer in the Discipline of Business Analytics at the University of Sydney Business School. Prior to joining the University of Sydney, she was a Postdoctoral Research Officer at the London School of Economics and Political Science (LSE), working with Prof. Qiwei Yao. She received her PhD from LSE under the supervision of Dr. Xinghao Qiao and Prof. Qiwei Yao. Her research focuses on dynamic network analysis, functional data and time series analysis, and high-dimensional statistics.

BSc HUST; MSc HUST; PhD DUT

Junbin Gao is Professor of Big Data Analytics at the University of Sydney Business School. Prior to joining the University of Sydney in 2016, he was Professor in Computing from 2010 to 2016 and Associate Professor from 2005 to 2010 at Charles Sturt University (CSU). He was Senior Lecturer from Jan 2005 to July 2005 and Lecturer from Nov 2001 to Jan 2005 in the School of Mathematics, Statistics and Computer Science (now the School of Science and Technology) at University of New England (UNE). Between 1999 and 2001, he worked as a Research Fellow in the Department of Electronics and Computer Science at University of Southampton, England.

Junbin Gao graduated from Huazhong University of Science and Technology (HUST) in 1982 with a Bachelor Degree in Computational Mathematics. He obtained his PhD from Dalian University of Technology in 1991. Between 1991 and 1993 he worked as a postdoctoral research fellow investigating wavelet applications at Wuhan University. He was appointed as an Associate Professor in July 1993 and promoted to Professor in October 1997 in Department of Mathematics of HUST. He was Guest Professor (2003-2006) in the State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing at Wuhan University, China; Guest Professor (2007-2010) in the School of Computer Science and Technology at Huazhong University of Science and Technology, China; Guest Professor (2008-2011) in the School of Computers at Guangdong University of Technology, China; and Visiting Professor (2012-2015) in Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology at Beijing University of Technology.

Until recently his major research interest has been machine learning and its application in data science, image analysis, pattern recognition, Bayesian learning & inference, and numerical optimization etc. He is the author of 260 academic research papers and two books. His recent research has involved new machine learning algorithms for big data in business. Prof Gao won three research grants in Discovery Project theme from the prestigious Australian Research Council (ARC).

BSc UTS PhD AGSM A.Stat.

Richard Gerlach's research interests lie mainly in financial econometrics and time series. His work has concerned developing time series models for measuring, forecasting and managing risk in financial markets as well as computationally intensive Bayesian methods for inference, diagnosis, forecasting and model comparison for these models. Recent focus has been on nonlinear threshold heteroskedastic models for volatility, Value-at-Risk and Expected Shortfall forecasting. He has developed structural break and intervention detection tools for use in state space models; also has an interest in estimating logit models incorporating misclassification and variable selection. His applied work has involved forecasting risk levels during and after the Global Financial Crisis; assessing asymmetry in major international stock markets, in response to local and exogenous factors; co-integration analysis assessing the effect of the Asian financial crisis on long term relationships between international real estate investment markets; stock selection for financial investment using logit models; option pricing and hedging involving barriers; and factors influencing the 2004 Federal election.

His research papers have been published in Journal of the American Statistical Association, Journal of Business and Economic Statistics, Journal of Financial Econometrics, Journal of Computational and Graphical Statistics, Journal of Time Series Analysis and the International Journal of Forecasting. He has been an invited speaker and regular presenter at international conferences such as the International conference for Computational and Financial Econometrics, the International Symposium on Forecasting and the International Statistical Institute sessions.

Nam Ho-Nguyen is an Associate Professor in the Discipline of Business Analytics at the University of Sydney Business School. His research focuses on stochastic, robust and data-driven optimization techniques for decision-making under uncertainty.

Prior to joining the University of Sydney, he was a postdoctoral research associate at the Wisconsin Institute for Discovery within the University of Wisconsin-Madison. He graduated with a PhD degree in Operations Research from the Tepper School of Business at Carnegie Mellon University, and an Honours degree in Mathematics from the Australian National University.

After completing his doctoral degree from the University of Illinois at Urbana-Champaign (Ph.D in Marketing), Kiju Jung joined the University of Sydney Business School in August 2014. He received a prestigious ACR-Sheth Foundation Dissertation Award in 2013 (public-purpose track), and his research appears in major marketing journals such as Journal of Consumer Research, Journal of Public Policy & Marketing, and Journal of Macromarketing.

His research interests surrounds two specific streams such as (1) consumer behaviours and well-being in the non-WEIRD(Western,Educated,Industrialised,Rich, andDemocratic) marketplaces, and (2) the interface of political ideology and marketplace behaviours.

He is teaching an innovative postgraduate unit “Customer Analytics & Relationship Management” that focuses on helping students to be equiped with data literacy through the state-of-art customer analytics such as data mining, predictive analytics, and data visualisation.

BBus (Hons) PhD, FHEA 

Dr Amanda Kennedy is a Lecturer in the Marketing Discipline within the University of Sydney Business School.

Amanda is an active researcher in the areas of marketing communications and branding with a specific interest in celebrity endorsement and celebrity brands using an experimental research design. Amanda has had her research published in leading international academic journals European Journal of Marketing, Psychology & Marketing and International Journal of Advertising. Amanda has received awards for her research including the 2018 Australian and New Zealand Marketing Academy Best Conference Paper Award.

Amanda attained her PhD (Marketing) from the University of Newcastle, Australia, in 2021. Amanda has taught a range of undergraduate and postgraduate marketing classes including Marketing Research, Marketing Analytics, Marketing Communications, Advertising: Persuasive Principals and Persuasive Advertising: Illuminating Dark Art. She has been awarded the Feedback for Teaching (FFT) Student Survey Award for Tutoring in 2021, 2022, 2023 and 2024.

I am a Lecturer in Econometrics and Business Statistics at the University of Sydney Business School. My primary research field is Econometrics. I received my PhD in Economics from the University of California, San Diego. Before joining the University of Sydney, I was the Weatherall Postdoctoral Fellow in the Department of Economics at Queen’s University in Kingston, Canada.

Erick (Zhaolin) Li received a Ph.D. in Business Administration from The Pennsylvania State University, a Master of Commerce in Accounting from The University of New South Wales, and a Bachelor of Engineering in Materials Science & Industrial Engineering from Shanghai Jiao Tong University. Dr. Li has been with The University of Sydney Business School since January 2009. Before moving to Sydney, he had worked in Ernst & Young LLP, Southern Arkansas University, and City University of Hong Kong. His research interests spans two areas of interest: supply chain management (SCM) and the interfaces between operations management (OM) and other areas. 

Dr. Li has established a strong international research profile with more than 10 publications in Financial Times Top 55 journals and UT Dallas Premier 24 journals. The impact of his applied research is demonstrated by winning the third place in the prestigious Practice Competition of the Chinese Scholar Association of Management Science and Engineering (CSAMSE). This event attracted a record-breaking number of submissions from leading international institutions. The award-winning case generated tangible industry benefits, delivering 5–10% cost savings per SKU for Mars Food. The paper associated with this award has been accepted by Operations Research in January 2026.

Dr. Li was recognized twice (2017, 2018) as one of the Asian Top 25 Scholars in his field, based on publications in International Journal of Production Economics. Dr. Li is currently an Associate Editor for OMEGA in its Department of Innovative Applications and an Associate Editor for Decision Science in its Department of Sourcing, Procurement/Purchasing and Logistics.

Dr. Li has successfully supervised four PhD completions as their associate supervisor and is currently supervising two doctoral candidates as their associate supervisor. In 2025, Dr. Li's ARC application advanced to the second round of consideration, identifying novel opportunities to enhance Australian Carbon Units, building on insights from the Chubb Review. These achievements collectively demonstrate his innovative, responsible, sustainable research for impacts. 

BCom Griff.; M MarkMgt Griff.; PhD Sydney

Dr Jeffrey Lim is a Lecturer in Marketing at the University of Sydney Business School who teaches across undergraduate and postgraduate programs. His teaching philosophy emphasises responsible and explicit instruction, learner well-being, and fostering inclusive learning environments where learners develop academic capability, broader decision-making and life skills. He also strongly believes that a successful learning journey involves taking place in a caring, collective, constructive and collaborative environment where everyone can learn with each other on the same platform regardless of their background.

Jeffrey’s research expertise is in judgement and decision-making under uncertainty. His doctoral research examined how decision contexts and information characteristics influence decision strategies and performance. In his education focused role, he extends this work to investigate the psychology of learning, including cognitive biases, study behaviours, and learner strategies, with the aim of informing assessment design, curriculum inclusivity, and teaching practice.

He has received sustained recognition for teaching excellence through multiple Business School teaching awards, tutoring awards, and Dean’s Citations, as well as nominations for institutional teaching awards. He has published scholarly work, conference papers, book chapters, and has developed case studies and instructor resources for international educational publishers. He contributes actively to curriculum design, academic governance, and mentoring initiatives within the Business School.

PhD Tor. MA York BA Nankai

Dr Steven Lu is the co-director of Consumer Insights Research Group at the University of Sydney Business School. He obtained his PhD in Marketing from the University of Toronto, and MA in Economics from York University. His work sits at the forefront of marketing analytics, combining machine learning, and advanced statistical modelling to address fundamental questions arising from the digital economy. He has made original and influential contributions to understanding consumer behaviour, multichannel advertising, and technology-enabled decision-making, including work on COVID-19-related consumer responses and large-scale unstructured data (text, audio, image).

He has published in leading international journals such as Marketing Science, Production and Operations Management, Journal of Retailing, Journal of Business Ethics, International Journal of Research in Marketing, Statistical Science, Annals of Tourism Research, Journal of Business Research, Journal of Interactive Marketing, International Journal of Production Research, and Customer Needs and Solutions. He has also served on the editorial board of Marketing Science.

His research has been widely recognized with numerous awards. He received the CNS Vithala Rao Award for Best Paper and was named Emerging Researcher of the Year Australia New Zealand Marketing Academy (ANZMAC). His paper on the economic impact of sports events was selected as a Highly Commended Paper for the 2016 Emerald Literati Network Awards for Excellence. His papers on basket choice using graphic network, exploring HTE in static and time-series Data, and Vocal and Textual Congruence in Customer Communications have received the ANZMAC Best paper award in Marketing Analytics for three consecutive years (2022-2024). Additionally his research on structural neural recommender system earned the Best of the Best Paper award at the 2023 Global Marketing Conference.

He has received multiple external competitive grants such as SSHRC (Social Science and Humanities Research Council, Canada) grant and NSFC (National Natural Science Foundation of China) grant.

As an educator, he has developed and taught courses on machine learning in marketing, marketing research, new product development and marketing principles. He has consistently recognized for his excellence in teaching, receiving multiple awards, including the Dean's Citation Award for Teaching (2016 & 2019), the inaugural Dean's Award for Teaching (2019), the Dean's USS Award for Teaching (2021 & 2024),  and the prestigious Vice Chancellor's Award for Teaching (2021). He has also been nominated for Wayne Lonergan Teaching Award. Dr. Lu is the author of the book Machine Learning in Marketing.

Zhongyuan Lyu is a Lecturer in the Discipline of Business Analytics at the University of Sydney Business School. Previously, he was a postdoctoral research scientist at Data Science Institute in Columbia University. He holds a Ph.D. from the Hong Kong University of Science and Technology, a Master’s degree from the University of Michigan, Ann Arbor, and a Bachelor’s degree from Fudan University.