Mei Leng Email & Phone Number

Singapore

- enterprise model monitoring

Singapore

- email data leakage prevention- fraud detection in real-time transaction- AI/ML model governance framework with fairness evaluation and model expalanability

Singapore

GFSA, Lending– Develop XAI (explainable AI) framework to interpret machine learning models for credit risk modelling.– Lead a team of 4 data scientists on credit score models.

Singapore

Data Science, Geo- building walkable maps from tremendous GPS data traces.- inferring user locations from WiFi fingerprinting.- revamping POI search performance.- improving POI location and road network.- recommending POI for ride-hailing services.Tools: Python, Spark, Airflow, ElasticSearchSkills: Machine Learning, Deep Learning, NLP, Information Retrieval

Temasek Laboratories, Singapore

Develop machine learning and statistical inference solutions for wireless communication and signal processing problems.Carry out end-to-end research tasks from writing grant proposals for research funding, data exploration and analysis, statistical modelling and solution development, to conducting field trials for proof-of-concept demonstrations.- Localization project: Lead research on wireless geo-localization in urban and indoor environment, develop tracking and navigation algorithms in various challenging scenarios, and carry out testbed implementation.- Data science project: Lead research on human motion detection and classification using WiFi signals, develop algorithms using machine learning techniques, and carry out testbed implementation.Common used tools: - Python, Deep Learning, Machine Learning, Statistical Inference, Signal Processing, Matlab, USRP, LabviewExperiences in applying and developing algorithms:- Support Vector Machine (SVM)- Gaussian Process- Random Forest- Convolutional Neural Network (CNN)- Recurrent Neural Network (RNN)- Expectation Maximization (EM)- Belief Propagation - Kalman Filtering- Particle Filtering- Hidden Markov Model (HMM)

Singapore

Research project: - Distributed algorithms design and analysis for large networks;- Target tracking and navigation;- Data mining of large online social networks.Extensive experience in:- Bayesian networks modelling and analysis- Statistical estimation and detection techniques- Statistical data analysis techniques

Hong Kong

Research on new advances in clock synchronization for wireless sensor networks. Extensive experience in:- probabilistic graphical model, including belief propagation and factor graph;- statistical signal processing using Kalman Filtering (KF), Hidden Markov Model (HMM), Expectation-Maximization (EM), and Particle Filtering (PF).