Difference between revisions of "CV:General"

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*CS231n Convolutional Neural Networks for Visual Recognition - Capstone: <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Bounding_Out-of-Sample_Objects_.282017.29 Bounding out-of-sample objects]</i>
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*CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) - Capstone: <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Bounding_Out-of-Sample_Objects_.282017.29 Bounding out-of-sample objects]</i>
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*CS234 Reinforcement Learning (Winter 2019) - ongoing
 
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*Final year research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter_.282015.29 Predicting Personality from Twitter]</i>
 
*Final year research project - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Predicting_Personality_from_Twitter_.282015.29 Predicting Personality from Twitter]</i>
*Information Retrieval and Data Mining Prize
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*Information Retrieval and Data Mining Prize (research and poster session)
 
*[http://www.cs.ucl.ac.uk/computer_science_news/article/undergraduate-research-group-projects-prize-winners/ Best Undergraduate Research Group Project of the Year] - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Task_Identification_using_Search_Engine_Query_Logs_.282014.29 Task Identification Using Search Engine Query Logs]</i>
 
*[http://www.cs.ucl.ac.uk/computer_science_news/article/undergraduate-research-group-projects-prize-winners/ Best Undergraduate Research Group Project of the Year] - <i>[http://lqkhoo.com/wiki/index.php/Main_Page#Task_Identification_using_Search_Engine_Query_Logs_.282014.29 Task Identification Using Search Engine Query Logs]</i>
*Developed a platform-agnostic [http://lqkhoo.com/wiki/index.php/Main_Page#RoboHome home automation system] capable of remote surveillance, command and control
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*Developed a platform-agnostic [http://lqkhoo.com/wiki/index.php/Main_Page#RoboHome home automation system] for remote surveillance, command and control
 
*Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
 
*Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
 
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*Withdrew in second year to transition to computer science
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*Studied principles of anatomy, physiology, etc. Withdrew in second year to transition to computer science
 
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4-month feasibility study on sentiment analysis of images in social media, funded by a research grant from [https://www.gov.uk/government/organisations/innovate-uk the UK government's technology strategy board]. Using the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both existing and novel methods to develop a commercially-viable product.
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Feasibility study on sentiment analysis of images in social media, funded by a research grant from [https://www.gov.uk/government/organisations/innovate-uk the UK government's technology strategy board]. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, that has since evolved to be based on convolutional neural nets.
 
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8-week research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers  [https://www.microsoft.com/en-us/research/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://www.radlinski.org/ Filip Radlinski].
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Research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers  [https://www.microsoft.com/en-us/research/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://www.radlinski.org/ Filip Radlinski].
  
I worked on Project SmartFence - an application for web access control. Users block or allow the few sites they know and SmartFence infers the suitability for the rest of the web. We developed several different cluster/kernel-based models and visualization schemes, and I delivered a prototype for the OneWeek company-wide hackathon. A patent was applied for.
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I worked on Project SmartFence - an application for web access control. Users block or allow the few sites they know about and SmartFence infers the suitability for the rest of the web. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering) and I delivered a prototype for the OneWeek company-wide hackathon. A patent was applied for.
 
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3-month internship with UniEntry to develop a pilot site to help sixth form students find the right university. The platform filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.
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Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.
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* JP Morgan Spring Week 2013 - Competition to develop a performant estimator of Black-Scholes' inverse. Best presentation, 2nd best performance.
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* JP Morgan Code for Good Challenge 2012 - To develop an app that raises awareness about nature in cities.
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* [https://github.com/lqkhoo/SynthJS SynthJS Music Made Quick] - Experimental music sequencer that runs entirely in the browser.
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* 4-week intensive language study strip with home stay in Hokkaido.
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Revision as of 13:28, 12 January 2019

Education
Stanford Center for Professional Development - Graduate Certificate in AI
2017 - present
  • CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) - Capstone: Bounding out-of-sample objects
  • CS234 Reinforcement Learning (Winter 2019) - ongoing
University College London - MEng Computer Science, First Class Honours
2011 - 2015
Imperial College London - School of Medicine - MBBS Medicine
2009 - 2011
  • Studied principles of anatomy, physiology, etc. Withdrew in second year to transition to computer science
Concord College, Shrewsbury - GCE A levels (Pre-A*) - AAAAab
2008 - 2009
  • Outstanding Student of the Year 2008 - Double award (Chemistry, Music) | Most imaginative hovercraft design
Professional experience
Research Software Development Engineer - Ocean 5 Technologies
March 2017 - present

Development of a command, control and analytics platform for fleets of GPS-and-sensor-equipped agricultural vehicles to be deployed in remote locations with unreliable internet access. Part of a government initiative to improve accountability and yield through technology and data. I work closely with electrical and mechanical engineers, and I am responsible for developing communication protocols and end-to-end systems development, hence my work spans from writing embedded C for microprocessors all the way to the Python backend and web UI.

R&D Scientist - Digital:MR
May 2015 - August 2015

Feasibility study on sentiment analysis of images in social media, funded by a research grant from the UK government's technology strategy board. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, that has since evolved to be based on convolutional neural nets.

Research Intern - Microsoft Research Cambridge
May 2014 - August 2014

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 or allow the few sites they know about and SmartFence infers the suitability for the rest of the web. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering) and I delivered a prototype for the OneWeek company-wide hackathon. A patent was applied for.

Founding Developer - www.unientry.org
June 2013 - 2014

Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.

Competencies
Python
PyTorch
MATLAB
JavaScript
C
C++
C#
MediaWiki
LaTeX
Sibelius
Academic interests

I am most interested in data-driven decision-making, especially when they directly improve quality of life, e.g. imaging and natural language systems, assistive technologies, robotics, or medical applications. I value simplicity, humility, and the ability to adapt and learn.

Machine learning
Neural networks
Reinforcement learning
Time series
Spoken languages and personal interests
English
Mandarin
Malay
Japanese
Piano