Yuehuan He

Yuehuan He

Manager, AI and Machine Learning



I am currently developing and researching AML/ATF solutions using AI and Machine Learning at Scotiabank.

Recent updates

[May 2023] Our paper discussing an optimization-based tail risk hedging method using put options for S&P500 is accepted and published (details). The proposed framework can also be extended to financial portfolios with multiple assets (details).

[May 2023] Our paper, proposing a self-training scheme for imbalanced slot filling tasks, has been accepted by ICASSP 2023. Details

  • Applied Machine Learning, Natural Language Processing
  • Operation Research
  • Financial Optimization
  • Data Science
  • MASc in Operation Resarch, 2021

    University of Toronto

  • BSc in Mathematics, 2019

    Beijing Normal University


Cognitive User Interface for Portfolio Optimization

This paper describes the development of a chatbot as a cognitive user interface for portfolio optimization.

Decision support system for the irregular flight recovery problem

In this paper, we describe a data-driven approach to the irregular flight recovery problem.


Manager, AI and Machine Learning
January 2022 – Present Toronto
  • Conducting research, developing, and implementing solutions utilizing natural language processing and big data analytics to reduce false positive rates in the sanctions screening system (HotScan), ensuring audit and regulatory compliance.
  • Implementing statistical, machine learning, and other quantitative methods to address specific business challenges in Anti-Money Laundering and Anti-Terrorist Financing (AML/ATF) and meeting the needs as well as initiatives of the bank.
University of Toronto
Research Assistant, Teaching Assistant
September 2019 – August 2021 Toronto

Conducted research in financial optimization and risk management under Prof. Roy Kwon’s supervision (Financial Optimization and Risk Management FORM Laboratory).

Courses TAed include:

  • MIE1624 Introduction to Data Science and Analytics
  • MIE1622 Computational Finance and Risk Management
  • MIE424 Optimization in Machine Learning
  • MIE1621 Nonlinear Optimization
  • STA457/STA2202 Time Series Analysis
  • STA414/STA2104 Statistical Methods for Machine Learning II
  • STA260 Probability and Statistics II
  • STA302/STA1001 – Methods of Data Analysis I
  • ACTB40 Fundamentals of Investment & Credit
  • ESC180 Introduction to Computer Programming

Recent Posts

Hello World
First markdown based blog for my personal website.



Friend’ website: Li Zhechen, Bolin Gao