💻 Experiments
Sept 2020 - June 2021
Master Project: Exploring the relation between cancers and mRNA with computer science methods
- Aim to find out which combination of mRNA bases have information of cancer metastasis.
- Built a complex network based on correlations among mRNAs using Python and Gephi.
- Did network analysis to filter out informative mRNAs.
- Currently researching on more effective network analysis and machine learning techniques,
- And how to predict cancers based on the filtered mRNAs with ML models.
Jun 2020 – Sept 2020
Paid summer internship at UCL computer science AI research group
- A simulation study on Twitter breaking news spreading based on ML Models.
- Analysed, reproduced and evaluated previous ML models and methods.
- Will do data mining, feature selection and adding textural features(NLP) to the existing model.
Oct 2019 – May 2020
Forecasting influenza-like illness rates using online search data
- Use Google query logs data to train a model to nowcast and forecast influenza-like illness.
- Examined state-of-the-art approaches, implemented and compared different ML models.
- Built a super-ensemble model which has a high performance.
Jun 2019 – Sep 2019
Summer Research on Deep Learning & Neural Network Data Augment
- Use pytorch to implement CNN and research on current data augmentation approaches.
- Merge 4 data augment strategies (Cutout, Mixup, Cutmix and Autoaugment) into one project code.
- Train the RNN with different data augmentation strategies on different Dataset x RNN models.
- Analyse and contrast on the experiment results.
- Come up with a new strategy called Random-mix and run experiments to test the capability.
MAY 2019 – JUN 2019
How to Change the World–Cities
- Designed a season responsive solution: Transportable Respiratory Environmental Equipment. (T.R.E.E.)
- Aims to reduce air pollution during Medellin’s smog seasons alongside the government air quality improvement plan.
- It is a modular system consisting of air filtering, mist spreading and an interactive information display.
Sept 2018 – Apr 2019
Microsoft AI/Deep learning with Cortana Project
- Using Ionic, Microsoft Speech API, Google map API, Cognitive Service, Azure and Bot framework.
- Invoke Cortana and use voice commands to interact with Soundscape App.
- Incorporate AI to enable Cortana to learn from people’s behaviour and make recommendations. Integrate a chatbot to enable people to interact with Soundscape and learn to use it effectively.
Oct 2018 – Nov 2018
Great Ormond Street Hospital 3D VR tour Project
- Using Unity and google VR SDK to develop an Android 3D VR tour Application to demo a new modern hospital concept. People can wear google VR glasses to see a further modern hospital.
- Users can interact with the app by looking at a specific item in the VR.
Feb 2018 – Apr 2018
UCL Computer Science News Portal Project
- Team leader, front-end developer, back-end developer and researcher. Using Azure, PHP, HTML, CSS, JavaScript, MySQL, jQuery, Bootstrap and Github.
- Created an online portal for students to upload media on. Admin can login to manage, delete, download or tweet an article.
- pH level, temperature and stirring speed, all of which are integrated into one user interface.
OCT 2017 – DEC 2017
Global Health Care-bioreactor controlling Project
- Team leader of the heating sub-system.
- A bioreactor is built to produce the vaccines. Worked on the controls of pH level, temperature and stirring speed, all of which integrated into one user