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Wei Yang Keane Ong Email & Phone Number
Machine Learning (NLP) PhD Candidate | NUS | A*Star | SenticNet & MathEXLab
at
Massachusetts Institute of Technology
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✓ Verified Jun 2026
3 data sources
Profile completeness 86%
Current company
Role
Machine Learning (NLP) PhD Candidate | NUS | A*Star | SenticNet & MathEXLab
Location
Singapore, Singapore, Singapore
Who is Wei Yang Keane Ong? Overview
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Quick answer
Wei Yang Keane Ong is listed as Machine Learning (NLP) PhD Candidate | NUS | A*Star | SenticNet & MathEXLab at Massachusetts Institute of Technology, based in Singapore, Singapore, Singapore. AeroLeads shows a matched LinkedIn profile for Wei Yang Keane Ong.
Wei Yang Keane Ong previously worked as Doctoral Researcher (Machine Learning (NLP) / Fintech) at A*Star - Agency For Science, Technology And Research and Undergraduate Research Assistant (Machine Learning (NLP) / Fintech) at A*Star - Agency For Science, Technology And Research. Wei Yang Keane Ong holds Doctor Of Philosophy - Phd from National University Of Singapore.
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Massachusetts Institute of Technology
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Profile bio
About Wei Yang Keane Ong
Keane Ong is a PhD candidate at the NUS Asian Institute of Digital Finance under the Digital Fintech program. He received his Bachelor in Mechanical Engineering from NUS in 2023, where he was part of both the engineering scholars and university scholars programs, and was awarded the Sung Kah Kay Memorial Prize for best student in scholarship and academic excellence. During his undergraduate studies, he cultivated a strong interest in AI for financial applications, which continues to drive his current research in explainable AI, natural language processing, and sustainable finance.Outside of his academic work, Keane enjoys playing soccer, hiking, and traveling, always seeking new experiences and staying active.
Current workplace
Wei Yang Keane Ong's current company
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Massachusetts Institute Of Technology
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8 roles
Wei Yang Keane Ong work experience
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Doctoral Researcher (Machine Learning (Nlp) / Fintech)
- Developing Large Language Models for Financial Applications- Key interest in AI for equity stock tradingTechnologies: Pytorch, Llama2
Aug 2023 - May 2024
Undergraduate Research Assistant (Machine Learning (Nlp) / Fintech)
- Developed integrated text-mining, neural network & statistical framework to derive explainable financial sentiment analysis for stock price insights- Implemented Sentic Graph Convolutional Networks for Financial Aspect Based Sentiment Analysis.Technologies: Python, Sentic-GCN, Pytorch, Pandas, Numpy
Jan 2023 - May 2023
Lead Technology Analyst (Machine Learning)
- Topic Modelling & Sentiment Analysis on Financial Text Data: Led a team to analyse US Federal Reserve meeting minutes using the Latent Dirichlet Allocation & BERT algorithms.- Credit Card Fraud Detection: Conducted a classification of fraudulent transactions using Decisions Trees andRandom Forest algorithms.- Stock Forecasting: Predicted future stock.
Aug 2021 - May 2023
Undergraduate Research Assistant (Machine Learning/ Robotics)
- Conducted research under Georgia Tech's LiDAR lab (https://lab-idar.gatech.edu/)- Machine Learning for Human Prediction: Designing LSTM/GNN/CVAE Neural Network algorithms toforecast future human trajectory. Exploring the integration of CVaR financial risk measure to enhance modelaccuracy.- Model Predictive Control Algorithms: Integrating human trajectory.
May 2022 - Aug 2022
Research Development Engineering Intern
- Web Development: Designed webpages to display real-time pollution rankings of different cities.- Data Mining: Extracted pollution data from multiple web sources using web-scraping tools.- Data Visualisation: Created graphical representations of air quality and engineering data on webpages- Data Analysis: Analysed experimental data to determine the.
Jul 2021 - Dec 2021
Mechanical Engineering Intern (Research & Development)
- Worked with a team of engineers on multiple projects relevant to military research & development- Applied engineering concepts and thinking to real-world projectsTechnologies: Solidworks, Finite Element Analysis
May 2021 - Jul 2021
Mechanical Design Engineer
- Worked within an engineering team to build an autonomous underwater vehicle- Designed actuator systems on an autonomous underwater vehicle, utilising Computer-Aided Design software.- Innovated ‘killswitch’ mechanisms for the autonomous underwater vehicle, utilising a reed switch system.Technologies: Solidworks
Aug 2020 - May 2021
8 education records
Wei Yang Keane Ong education
Doctor Of Philosophy - Phd
Bachelor Of Engineering - Be, Mechanical Engineering, 4.92/5.0
Education record
Bachelor Of Engineering - Be, Mechanical Engineering, First-Class Honours
Business/Commerce, General
Bachelor Of Engineering - Be, Mechanical Engineering
Gce A' Levels, Aaa/A With H3 Physics Merit
Integrated Programme, Grade Point Average Of 3.96 (Of 4)
FAQ
Frequently asked questions about Wei Yang Keane Ong
Quick answers generated from the profile data available on this page.
What company does Wei Yang Keane Ong work for?
Wei Yang Keane Ong works for Massachusetts Institute of Technology.
What is Wei Yang Keane Ong's role at Massachusetts Institute of Technology?
Wei Yang Keane Ong is listed as Machine Learning (NLP) PhD Candidate | NUS | A*Star | SenticNet & MathEXLab at Massachusetts Institute of Technology.
Where is Wei Yang Keane Ong based?
Wei Yang Keane Ong is based in Singapore, Singapore, Singapore while working with Massachusetts Institute of Technology.
What companies has Wei Yang Keane Ong worked for?
Wei Yang Keane Ong has worked for Massachusetts Institute Of Technology, A*Star - Agency For Science, Technology And Research, Nus Fintech Society, Georgia Institute Of Technology, and Smart Air.
How can I contact Wei Yang Keane Ong?
You can use AeroLeads to view verified contact signals for Wei Yang Keane Ong at Massachusetts Institute of Technology, including work email, phone, and LinkedIn data when available.
What schools did Wei Yang Keane Ong attend?
Wei Yang Keane Ong holds Doctor Of Philosophy - Phd from National University Of Singapore.
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