About
Hi there! I’m Fangfang, a graduate student at Northeastern University majoring in Bioinformatics with a concentration in Machine Learning and Visualization. I have gained valuable experience through my schoolwork and various internships. Next up, I will be graduating and earning my Master’s degree in April 2021!
As an engineer, I am passionate about using state-of-art technologies to tackle real-world challenges. I am interested in working for a company where I can apply my unique skillset to build innovative products that will benefit both the company and the community.
Selected Publications
SfN 2021 Development of an automated high-throughput machine learning pipeline for phenotypic classification based on rodent quantitative electroencephalography
F. SHENG, D. J. GRAZIANO, E. J. MA, M. XIAO, H. HOEFLING, and M. M. SIDOR
VIS 2020 Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes
Sara Di Bartolomeo, Yixuan Zhang, Fangfang Sheng, and Cody Dunne
VIS 2019 Evaluating Alignment Approaches in Superimposed Time-Series and Temporal Event-Sequence Visualizations
Yixuan Zhang, Sara Di Bartolomeo, Fangfang Sheng, Holly Jimison, and Cody Dunne.
Active Projects
Full Stack Machine Learning Streaming Twitter Filter in Python
Build and deploy a streaming pipeline that downloads tweets, filters based on provided keywords and caculates sentiment scores at cloud.
- use Tweepy to interact with Twitter’s API
- use Redis to setup a key-value store at cloud
- conduct state-of-the-art sentiment analysis
- display data from Redis via Flask and Jinga2(web application) at Heroku
Full Stack Deep Learning Text recognizer App in Python
The goal for this project is trainning machine learning models and deploying a text recognizer AI systems in the real world at free cloud platform. More specifically, I’m going to build a web page allow user upload a picture of their handwriting and the AI models will try it best to recognize it and return text.