Kenneth Co, PhD

Kenneth Co, PhD

Machine Learning Researcher

Imperial College London

Biography

Kenneth Co is a researcher interested in making machine learning more safe and accessible. His expertise in research and industry has given him a broad understanding of machine learning applications for innovation and industry. He is best reached through email or social media.

Interests
  • Computer Vision
  • Medical Imaging
  • Security & Privacy
  • Explainable & Trustworthy AI
Education
  • PhD in Computing, 2023

    Imperial College London

  • MSc in Computing, 2017

    Imperial College London

  • BA and MA in Mathematics, 2016

    Johns Hopkins University

Experience

 
 
 
 
 
Thinking Machines
Machine Learning Consultant
November 2022 – Present Manila, Philippines
  • Developing proof of concepts (POCs) for various machine learning applications to solve industry problems.
  • Utilized Large Language Models (LLMs) and vector databases for retrieval augmented search, automated document extraction, and text summarization for client use cases and POCs
 
 
 
 
 
Research Scientist
June 2017 – November 2022 London, United Kingdom

Machine learning research and consulting role with industry partners:

  • Engaged with end users to identify suitable machine learning solutions and model attribution methods for various use cases
  • Deployed back-end for continuous monitoring of AutoML applications
  • Designed explainable anomaly detection models for data quality management
  • Developed anomaly detection and risk scoring models for transaction monitoring across product categories. Streamlined analytics and dashboard tools for scouting and management information
 
 
 
 
 
Imperial College London
Graduate Teaching Assistant
August 2018 – September 2022 London, United Kingdom
Assisted course leaders in tutorials and administrative tasks for statistical machine learning, introductory machine learning, and medical imaging courses

Awards

CSAW'20 Applied Research Competition, 3rd Place
For our work on “Procedural noise adversarial examples for black-box attacks on deep convolutional networks”
See certificate
Woodrow Wilson Fellowship
4-year $10,000 research fellowship awarded by Johns Hopkins University
See certificate
Bronze Medal
The oldest and most prestigious pre-collegiate mathematics competition with over 100 participating countries and 500 contestants
See certificate