Sujay Thakur

Medisave Strat Finance

Developing and implementing Singapore’s National AI Strategy (NAIS) 2.0. Holding portfolios in policy formulation (geopolitics; industry partnerships; compute; public good), sense-making upcoming trends, and strategic planning (progress assurance; competitiveness monitoring; strategy review).

Developing Singapore’s strategic defence policies to further interests in deterrence and diplomacy.

Received Unit Best Soldier award. Developed an Android/iOS app for 1300+ users. Developed Machine Learning tools for military use cases. Digitalised various processes. Ran a data analytics course. Emceed various events.

R&D on Generative Adversarial Networks and Spiking Neural Networks. Produced two research papers and a presentation.

Sensors & IoT team. Involved in 3 main projects: 1) Developed a communication layer for passing sensor data using the RTI DDS middleware, in C++. Involved in building the data collection system using Arduino and Raspberry Pi. 2) Developed an autonomous vehicle using the ROS middleware, focusing on computer vision and autonomous navigation, in Python and C++. 3) Full stack development of a web application, including HTML/CSS UI design, JavaScript back-end logic, node.js hosting and APIs for image file transfer using HTTP.

Coursework consisted of graduate-level courses in probability, data science, machine learning, stochastic processes, linear algebra and parallel computing. Continued research on probabilistic machine learning under Dr. Weiwei Pan as part of the Data to Actionable Knowledge (DtAK) lab; lead author on publications.

Year 3: Starred First Class. Ranked 3rd. Year 2: First Class. Ranked 9th. Year 1: First Class. Ranked 10th. Final year coursework consisted of undergraduate and graduate-level courses in control theory, statistics, signal processing, data analysis and machine learning: 3F1 - Signals and Systems 3F2 - Systems and Control 3F3 - Statistical Signal Processing 3F4 - Data Transmission 3F7 - Information Theory 3F8 - Inference (Machine Learning) 3M1 - Linear Algebra, Stochastic Processes and Optimisation 3E3 - Modelling Risk 4M12 - PDEs and Variational Methods 3C5 - Dynamics SF1 - Data Analysis GF2 - Software Development

MA conferred by seniority.

Distinction in H3 Mathematics Distinction in H3 Modern Physics A in H2 Physics A in H2 Chemistry A in H2 Mathematics A in H2 Economics A in H1 PW A in H1 GP A in H1 Hindi