Difference between revisions of "CV:General"

• Masters research project - Predicting Personality from Twitter
• Information Retrieval and Data Mining Prize runner-up
• Best Research Group Project of the Year - Task Identification using Search Engine Query Logs
• Developed a platform-agnostic home automation system capable of remote surveillance and command and control
• Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries

• Withdrew during second year to transition to computer science

• Outstanding Student of the Year 2008 - Double award (Chemistry, Music)
• Most imaginative hovercraft design, solar buggy race consolation prize, annual public music (piano) performance participant.

3-month feasibility study on sentiment analysis of images in social media, funded by a research grant from the UK technology strategy board. Using the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both existing and novel methods with the goal of developing a commercially-viable product.

8-week research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers Pushmeet Kohli, Yoram Bachrach, Ulrich Paquet, and Filip Radlinski.

I worked on Project SmartFence - an application for web access control. Users block and allow the sites they know and SmartFence infers the suitability of the rest of the web. We developed several different models, and I delivered a prototype for the OneWeek company-wide hackathon. A patent was applied for.

3-month internship to develop a pilot site to help sixth form students to find the right university. The platform filters information from the Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.

Site: http://www.unientry.org

Implemented a performant implied volatility calculator for a stream of options prices, using the Black-Scholes model. Implementation was in Java, core algorithm is a simple Newton-Raphson iterator. Team awarded second best for code performance and code review, and best for presentation.

An experiment in music synthesis and representation using HTML5-based technologies and an exercise in UI design. The original intention was to let people sequence music quickly with little to no musical knowledge required.

Site: http://lqkhoo.com/synthjs | Source: https://github.com/lqkhoo/SynthJS

Self-funded intensive study trip with home stay in Sapporo, Japan, to supplement my self study.

• C#, Java, Python, ASP.NET, MATLAB, HTML/CSS3, JavaScript, jQuery, D3.js, Knockout.js, MongoDB, SQL, LaTeX, Sibelius

• Academic interests: Machine learning, Artificial Intelligence, Game theory, Natural language processing

• Spoken languages and personal interests: English, Mandarin, Malay, Japanese (elementary), Piano, Music composition, Reading