Artem Timoshenko, Ph.D.
Professor at Kellogg School of Management
Research Expertise
About
Publications
Identifying Customer Needs from User-Generated Content
Marketing Science / Jan 01, 2019
Timoshenko, A., & Hauser, J. R. (2019). Identifying Customer Needs from User-Generated Content. Marketing Science, 38(1), 1–20. https://doi.org/10.1287/mksc.2018.1123
Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges
Management Science / Jun 01, 2020
Simester, D., Timoshenko, A., & Zoumpoulis, S. I. (2020). Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges. Management Science, 66(6), 2495–2522. https://doi.org/10.1287/mnsc.2019.3308
Product Aesthetic Design: A Machine Learning Augmentation
Marketing Science / Nov 01, 2023
Burnap, A., Hauser, J. R., & Timoshenko, A. (2023). Product Aesthetic Design: A Machine Learning Augmentation. Marketing Science, 42(6), 1029–1056. https://doi.org/10.1287/mksc.2022.1429
Product Choice with Large Assortments: A Scalable Deep-Learning Model
Management Science / Mar 01, 2022
Gabel, S., & Timoshenko, A. (2022). Product Choice with Large Assortments: A Scalable Deep-Learning Model. Management Science, 68(3), 1808–1827. https://doi.org/10.1287/mnsc.2021.3969
Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments
Management Science / Aug 01, 2020
Simester, D., Timoshenko, A., & Zoumpoulis, S. I. (2020). Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments. Management Science, 66(8), 3412–3424. https://doi.org/10.1287/mnsc.2019.3379
Game Changer: Big data in marketing analytics
Nov/Dec 2015 / Jul 30, 2019
Game Changer: Big data in marketing analytics. (2019). [dataset]. In Nov/Dec 2015. Institute for Operations Research and the Management Sciences (INFORMS). https://doi.org/10.1287/lytx.2015.06.02
Soul and machine (learning)
Marketing Letters / Aug 27, 2020
Proserpio, D., Hauser, J. R., Liu, X., Amano, T., Burnap, A., Guo, T., Lee, D., Lewis, R., Misra, K., Schwarz, E., Timoshenko, A., Xu, L., & Yoganarasimhan, H. (2020). Soul and machine (learning). Marketing Letters, 31(4), 393–404. https://doi.org/10.1007/s11002-020-09538-4
A Sample Size Calculation for Training and Certifying Targeting Policies
SSRN Electronic Journal / Jan 01, 2022
Simester, D., Timoshenko, A., & Zoumpoulis, S. (2022). A Sample Size Calculation for Training and Certifying Targeting Policies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4228297
Scaling Human Effort in Idea Screening and Content Evaluation
SSRN Electronic Journal / Jan 01, 2020
Kireyev, P., Timoshenko, A., & Yang, C. L. (2020). Scaling Human Effort in Idea Screening and Content Evaluation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3685882
How do successful scholars get their best research ideas? An exploration
Marketing Letters / Nov 20, 2019
Cao, C., Cao, X., Cashman, M., Kumar, M., Timoshenko, A., Yang, J., Yu, S., Zhang, J., Zhu, Y., & Wernerfelt, B. (2019). How do successful scholars get their best research ideas? An exploration. Marketing Letters, 30(3–4), 221–232. https://doi.org/10.1007/s11002-019-09506-7
Using Past Responders to Target Non-Responders
SSRN Electronic Journal / Jan 01, 2017
Evgeniou, T., Simester, D., Timoshenko, A., & Zoumpoulis, S. I. (2017). Using Past Responders to Target Non-Responders. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3038737
Education
Massachusetts Institute of Technology
Ph.D., Management Science / May, 2019
Experience
Kellogg School of Management
Professor / June, 2019 — Present
My research focuses on the business applications of AI, incl. product development, marketing, and operations. I also teach on the topics of marketing and innovation at the MBA and PhD programs.
Join Artem on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
