Sushant More

About

Upon completing PhD in physics, I leveraged my computational and modeling skills to pursue problems in industry. I am currently a Research Scientist at Amazon and have worked previously at J P Morgan Chase. My expertise lies in theoretical physics, machine learning, anomaly detection, forecasting, and causal inference.

Employment

• Amazon Services LLC Research Scientist II
  2021 - Present
• Amazon Services LLC Research Scientist
  2019 - 2021
• JP Morgan Chase and Co Data Scientist
  2018 - 2019
• National Superconducting Cyclotron Laboratory Postdoctoral research associate
  2016 - 2018

Education

• The Ohio State University PhD
  2011 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
  2024 DOI: 10.1145/3637528.3671604
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• Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
  2023 DOI: 10.1007/978-3-031-43427-3_31
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• Identifying and Overcoming Transformation Bias in Forecasting Models
  KDD 2022 Workshop on Mining and Learning from Time Series -- Deep Forecasting: Models, Interpretability, and Applications 2022
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• Scale dependence of deuteron electrodisintegration
  PHYSICAL REVIEW C 2017
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• Improving Predictions with Reliable Extrapolation Schemes and Better Understanding of Factorization
  2016
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• Deuteron electrodisintegration with unitarily evolved potentials
  PHYSICAL REVIEW C 2015
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• Ultraviolet extrapolations in finite oscillator bases
  PHYSICAL REVIEW C 2014
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• Systematic expansion for infrared oscillator basis extrapolations
  PHYSICAL REVIEW C 2014
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• Universal properties of infrared oscillator basis extrapolations
  PHYSICAL REVIEW C 2013
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• Non-local linear stability of ion beam eroded surfaces
  Applied Surface Science 2012
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