Marat Salikhov

Postdoctoral Associate, Yale School of Management

Ph. D. in Technology and Operations Management, INSEAD, 2019

On the academic job market 2020-2021

Research interests: data analytics, probabilistic forecasting, wisdom of crowds.

Teaching interests: business analytics, core operations management, data science for business.


Published and accepted papers

  • [1] Bias, Information, Noise: The BIN Model of Forecasting [SSRN][journal]

    with Ville Satopää, Philip Tetlock and Barbara Mellers, accepted at Management Science

  • [2] Are Goals Scored Just Before Half Time Worth More? A Soccer Myth Statistically Tested [link]

    with Henrich R. Greve, Jo Nesbø and Nils Rudi, published at PLOS ONE

Articles under Review/Working papers

  • [3] Forecasting Demand for New Products: Combining Subjective Rankings with Sales Data (job market paper) [link]

    with Nils Rudi, major revision at Management Science

  • [4] Impact of Workforce Flexibility on Customer Satisfaction: Empirical Framework & Evidence from a Cleaning Services Platform [link]

    with Ekaterina Astashkina and Ruslan Momot

  • [5] Accounting-based Incentives Can Induce Cyclical Inventory Build-ups [link]

    with Paul Parker, Jurgen Mihm, Dana Popescu and Nils Rudi


Data Science for Business Tutorials, INSEAD, Singapore.

MBA Elective

Probability and Statistics Tutorials, INSEAD, Fontainebleau, France.

PhD core course
Teaching Assistant to Prof. Zoumpoulis.

Decision-Making Under Uncertainty Tutorials, INSEAD, Fontainebleau, France.

Sberbank 500 Executive Education program

Business Model Innovation Tutorials, INSEAD, Fontainebleau, France.

Sberbank 500 Executive Education program

Microeconomics, New Economic School, Moscow, Russia.

Teaching Assistant for the Graduate Microeconomics course at a MA program