Nikhil Malik

Nikhil MalikNikhil MalikNikhil Malik

Nikhil Malik

Nikhil MalikNikhil MalikNikhil Malik

About Me

Bio: I graduated from Carnegie Mellon University with a MS in Industrial Administration in 2018 and a PhD in Business Technologies in 2020. I worked closely with the Marketing Department at Tepper School of Business. My research focuses on impact of Technology on Pricing and Markets. 


Prior to joining CMU, I completed my undergraduate in Electrical Engineering from Indian Institute of Technology (IIT), Delhi between 2007-2011. Thereafter, I spent five years from 2011 to 2016 as a Data Strategist for Goldman Sachs.


Research interests,

  • Algorithmic Pricing
  • Behavioral and Algorithmic Biases
  • Marketing and Financial Technology
  • Economics of Machine Learning (ML)


Dissertation: Applications and Economics of ML and Blockchain Technologies

Committee: Kannan Srinivasan, Param Vir Singh (co-chairs), Nitin Mehta, Bryan Routledge.

Chapters,

  1. When does beauty pay? An ML based measurement of beauty bias.
  2. Why Bitcoin will fail to scale? Economics of collusion on Blockchain.
  3. Can ML amplify pricing errors in housing market? Economics of ML Feedback Loops. (Job Market Paper)


Other Research

Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness

Can Banks survive the next financial crisis?: A Generative Adversarial Network for Bank Stress Testing.

Disruptive Technologies in Global Payments - Winners and Losers 

Role of naïve consumers in Initial Coin Offerings (ICO)

Bayesian Finger: A Variational Bayes EM method for customer feedback attribution in Web Scale Data Analytics Stack


Awards and Fellowships

Dipankar and Sharmila Chakravarti Doctoral Fellowship Award 2020.

AMA-Sheth Foundation Doctoral Consortium Fellow, 2020.

PNC Presidential Fellowship, 2019-20.

Henry J. Gailliot Presidential Fellowship, CMU 2019-20.

Ripple Foundation Fellow, 2019-20.

ISMS Doctoral Consortium Fellow, 2019.

Litzenberger Family Fund Award, CMU, 2018-19.

Best Conference Paper nomination, CIST INFORMS 2018.

Best Student Paper, CIST INFORMS 2017.

William Larimer Mellon Fellowship, CMU 2016.

Best Electrical Engineering Undergraduate Thesis, IIT Delhi 2011.


Email Address

SSRN Preprint Archive

Github Code Repository

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Curriculum Vitae (pdf)Download

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