Nikhil Malik

Nikhil Malik studies economic implications of Machine Learning (ML) and other disruptive technologies. His recent work touches on Zillow’s ML based pricing for homes and Bitcoin’s pricing for payments. His research highlights issues of pricing, adoption, bias and fairness. Nikhil’s research has been supported in the past by awards and fellowships from PNC Bank and Ripple (payments network) among others. He has also spent time designing Financial Technology for Goldman Sachs. Given this background, Nikhil brings expertise at the cross section of Marketing and FinTech.

Education

• PhD, Carnegie Mellon University
• MS, Carnegie Mellon University
• BTech, Indian Institute of Technology

Research interests

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

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.