Theodoros Evgeniou

Theos Evgeniou is a Professor of Decision Sciences and Technology Management at INSEAD, and an Academic Director of INSEAD eLab, a research and analytics center at INSEAD that focuses on data analytics for business.

Professor Evgeniou has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degrees in Computer Science. He graduated first in the MIT class of 1995 dual degrees in Mathematics, won medals in international mathematical Olympiads, and European awards for business case studies.

Professor Evgeniou has authored more than 30 academic and business articles which have been cited by more than 5000 other publications. At INSEAD, Theos has been focusing on data analytics (and “Big Data”) applied to a range of areas from customer insights and marketing to finance. He has been developing and teaching courses on Data Analytics, Statistics and Decision Making. Professor Evgeniou gives talks and consults for a number of organisations in his areas of expertise.

His recent focus is on statistical arbitrage in finance. He has been involved in developing hedge fund strategies with more than $100 million invested.

He recently developed a novel Data Analytics for Business course for MBA and Executive Education participants, which is based on cloud technologies and state of the art open source analytics tools.

PUBLICATIONS

• Ramon Y., Martens D., Evgeniou T., Praet S. (2021). Can Metafeatures Help Improve Explanations of Prediction Models When Using Behavioral and Textual Data?. Machine Learning

• Evgeniou T., Peress J., Vermaelen T., Yue L. (2021). Network Centrality and Managerial Market Timing Ability. Journal of Financial and Quantitative Analysis

• Candelon F., Charme di Carlo R., De Bondt M., Evgeniou T. (2021). AI Regulation Is Coming. Harvard Business Review, 99(5)

• Babic B., Gerke S., Evgeniou T., Cohen I. G. (2021). Beware Explanations From AI in Health Care . Science, 373(6552)

• Boza P., Evgeniou T. (2021). Artificial Intelligence to Support the Integration of Variable Renewable Energy Sources to the Power System (116754). Applied Energy, 290

• Babic B., Gerke S., Evgeniou T., Cohen I. G. (2021). Direct-to-Consumer Medical Machine Learning and Artificial Intelligence Applications. Nature Machine Intelligence , 3

• Babic B., Cohen I. G., Evgeniou T., Gerke S. (2021). When Machine Learning Goes Off the Rails. Harvard Business Review, 99(1)

• Ramon Y., Martens D., Provost F., Evgeniou T. (2020). A Comparison of Instance-Level Counterfactual Explanation Algorithms for Behavioral and Textual Data: SEDC, LIME-C and SHAP-C. Advances in Data Analysis and Classification, 14

• Cohen I. G., Evgeniou T., Gerke S., Minssen T. (2020). The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health . The Lancet Digital Health, 2(7)

• Boulant O., Fekom M., Pouchol C., Evgeniou T., Ovchinnikov A., Porcher R., Vayatis N. (2020). SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the COVID-19 Epidemic. Image Processing On Line, 10

• Babic B., Chen D. L., Evgeniou T., Fayard A. (2020). A Better Way to Onboard AI. Harvard Business Review, 98(4)

• Gerke S., Babic B., Evgeniou T., Cohen I. G. (2020). The Need for a System View to Regulate Artificial Intelligence/Machine Learning-Based Software as Medical Device (53). npj Digital Medicine, 3

• De Cnudde S., Martens D., Evgeniou T., Provost F. (2020). A Benchmarking Study of Classification Techniques for Behavioral Data. International Journal of Data Science and Analytics, 9

• Babic B., Gerke S., Evgeniou T., Cohen I. G. (2019). Algorithms on Regulatory Lockdown in Medicine. Science, 366(6470)

• Kireyev P., Evgeniou T., Brandwein N. J. (2019). Preferred Networks: A Deep Learning Startup Powers the Internet of Things.

• Samper-Gonzalez J., Burgos N., Bottani S., Fontanella S., Lu P., Marcoux A., Bertrand A., Bertin H., Guillon J., Wen J., Bacci M., Colliot O., Durrleman S., Habert M., Evgeniou T., Routier A. (2018). Reproducible Evaluation of Classification Methods in Alzheimer's Disease: Framework and Application to MRI and PET Data. NeuroImage, 183

• Evgeniou T., Junque de Fortuny E., Nassuphis N., Vermaelen T. (2018). Volatility and the Buyback Anomaly. Journal of Corporate Finance, 49

• Evgeniou T. (2017). Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease.

• Evgeniou T., Vermaelen T. (2017). Share Buybacks and Gender Diversity. Journal of Corporate Finance, 45

• Evgeniou T., Fang L., Hogarth R. M., Karelaia N. (2013). Competitive Dynamics in Forecasting: The Interaction of Skill and Uncertainty. Journal of Behavioral Decision Making, 26(4)

• Lederman J., Evgeniou T. (2013). Hunt: Liquid Risks.

• Toubia O., Johnson E. J., Evgeniou T., Delquie P. (2013). Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters. Management Science, 59(3)

• Zhang K., Evgeniou T., Padmanabhan V. (., Richard E. (2012). Content Contributor Management and Network Effects in a UGC Environment. Marketing Science, 31(3)

• Hauser J. R., Toubia O., Evgeniou T., Befurt R., Dzyabura D. (2010). Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets. Journal of Marketing Research, 47(3)

• Evgeniou T. (2010). Catwalk: Simulation Based Re-Insurance Risk Modelling.

• Abernethy J., Bach F., Evgeniou T., Vert J. (2009). Low Rank Matrix Factorization with Attributes. Journal of Machine Learning Research, 10

• Pramatari K., Evgeniou T., Doukidis G. (2009). Implementation of Collaborative e-Supply Chain Initiatives: An Initial Challenging and Final Success Case from Grocery Retailing. Journal of Information Technology, 24(3)

• Abernethy J., Bach F., Evgeniou T., Vert J. (2009). A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. Journal of Machine Learning Research, 10(3)

• Netzer O., Toubia O., Bradlow E., Dahan E., Evgeniou T., Feinberg F. M., Liechty J. C., Orlin J., Feit E. M., Hui K. (. S. (2008). Beyond Conjoint Analysis: Advances in Preference Measurement. Marketing Letters, 19(3-4)

• Argyriou A., Evgeniou T., Pontil M. (2008). Convex Multi-Task Feature Learning. Machine Learning, 73(3)

• Abernethy J., Evgeniou T., Toubia O., Vert J. (2008). Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Transactions on Knowledge and Data Engineering, 20(2)

• Toubia O., Evgeniou T. (2007). Optimization-Based and Machine-Learning Methods for Conjoint Analysis: Estimation and Question Design.

• Evgeniou T., Pontil M., Toubia O. (2007). A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation. Marketing Science, 26(6)

• Evgeniou T., Pramatari K., Doukidis G. (2006). Internet Enabled Collaborative Store Ordering: Veropoulos Spar Retailer (B).

• Boussios K., Zacharia G., Evgeniou T. (2005). Generalized Robust Conjoint Estimation. Marketing Science, 24(3)

• Evgeniou T., Cartwright P. (2005). Barriers to Information Management. European Management Journal, 23(3)

• Evgeniou T., Micchelli C. A., Pontil M. (2005). Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research, 5(4)

• Pramatari K., Doukidis G., Evgeniou T. (2005). Internet Enabled Collaborative Store Ordering: Veropoulos Spar Retailer (A).

• Eliseeff A., Pontil M., Evgeniou T. (2005). Stability of Randomized Learning Algorithms. Journal of Machine Learning Research, 5(1)

• Evgeniou T., Hibon M. (2005). To Combine or Not to Combine: Selecting among Forecasts and their Combinations. International Journal of Forecasting, 21(1)

RESEARCH AREAS

Decision Processes, Business Intelligence and Data Mining, Data Analytics in Marketing and Finance, Information Technology in Organisations

TEACHING AREAS

Uncertainty, Data, and Judgement, Models for Strategic Planning, Information Technology and Organisations, Data Analytics for Managers

INDUSTRY SECTORS

Banking and Insurance, Information Technology, Pharmaceuticals and Health, Telecommunication Services