Ong Yi Chong

Experience

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  NUS Science Computer-based Learning Centre

  Aug 2017 - Aug 2019

  • Rebranding club's direction through introducing new software initiatives that focuses on Web/App development • Managing 50 active CBLC members and effectively encouraged members to participate in organized activities.• Maintaining the daily operations of Computer Cluster, such as ensuring the productivity of print jobs and users experiences. • Liaise with external vendors in acquisition of supplies essential to Computer Cluster's daily operations.• Maintaining connections with more than 200 sponsors for various club's activities and also actively looking for more available fundings to support our new initiatives. Show less

  • Vice President

    Aug 2018 - Aug 2019

  • Tech Committee Member

    Aug 2017 - Aug 2018
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  National University of Singapore

  Jan 2018 - May 2018

  Undergraduate Teaching Assistant

  • Undergraduate Teaching Asisstant for CS2030 AY17/18 (Semester 2) • Managed a tutorial group size of 40 students to help them gain better understanding of good software engineering practices. • Received positive feedback from at least 2 students every week on my effective delivery of lessons.

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  NUS Piano Ensemble

  Aug 2018 - May 2019

  Marketing Head

  • Manage social media pages for the society to publicise campus wide activities and external events including annual concerts organized by our club.

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  Endofotonics

  May 2019 - Nov 2019

  Software Engineer Intern

  • Developed C++ dynamic link libraries for use in medical device software• Developed API functions for interface with NFC tag• Implemented software unit and integration tests using Microsoft Visual Studio Test framework• Documentation of unit and integration tests procedures for ISO9001 Quality Management Systems (QMS)• Development of software for data input into NFC tag during medical device manufacturing process• Development of software for automatic implementation of file encryption and checksum during medical device manufacturing process Show less

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  National University of Singapore

  Jan 2020 - Nov 2020

  Final Year Project

  Project title: Inverse Reinforcement Learning for Sepsis treatmentSupervisor: Assistant Professor Vaibhav RajanThe project explores the use of Inverse Reinforcement Learning techniques in healthcare, particularly for Sepsis treatment. Inverse Reinforcement Learning can be used to uncover clinical insights in the following 2 areas: • Recover reward weights that would best explain optimal clinical trajectories. As there are multiple conflicting objectives that clinician's seek to optimise for, inverse reinforcement learning can help to quantify the relative importance that each feature plays in determining patient outcome. • Identify patient heterogeneity by clustering patients who are treated similarly into one cluster. Treatment of patients within clusters can be explained by a particular reward function. We seek to uncover the similarities and differences between patients treated within and between clusters.My tasks in this project involved • Formulating the Sepsis treatment problem as a Markov Decision Process and implementing Inverse Reinforcement Learning algorithms from the literature such as Apprenticeship Learning and a Bayesian approach to multi-task learning of different reward functions.• Applying the algorithms at scale by implementing caching optimisations during MCMC sampling of reward weights.Final Grade: A+ Show less

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  National University of Singapore

  Feb 2021 - Jul 2021

  Research Engineer

  Project: Digitising the dementia screening which is traditionally administered using pen and paper and manually graded. I was involved the design and development of an algorithm which automatically grades participant's drawings of clocks on IOS Ipad application. The tasks that I have completed in this project include• Design and implementation of a grading algorithm for user clock drawings that combines an object detection pipeline with rule based features. • Deployment of the algorithm and model into IOS application to validate the usability and proof of concept of the algorithm.• Reviewed object detection literature and experimented with implementing various tricks to achieve a strong model detection baseline. Show less

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  DSTA

  Aug 2021 - now

  Software Developer