Fei Ding
Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolFei Ding is a Research Scientist at Meta MRS with nine years of experience applying self-supervised and representation-learning techniques to real-world problems. With a PhD and MS from Clemson University, Fei advanced unsupervised clustering, model distillation for compression, and end-to-end IoT malware detection during graduate research—work that produced state-of-the-art results and drastically reduced model sizes. At Siemens Healthineers Fei translated research into clinical prototypes, improving COVID-19 case prediction through self-supervised pretraining. Now at Meta, Fei focuses on pushing state-of-the-art methods on the MRS platform, blending deep theoretical rigor with production-minded engineering. Colleagues describe Fei as someone who consistently bridges academic excellence (perfect PhD GPA) with pragmatic systems building in industry.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 3.9/4.0, Master of Science - MS, Computer Science, 3.9/4.0 at Clemson University
Github Skills (61)
methodology9
apache-kafka8
computer-vision8
python8
correlation8
producer8
malware8
redis-client8
prometheus-exporter8
collectd8
librdkafka8
snmp8
daemon8
amqp-client8
kafka-consumer7
Programming languages (5)
Github contributions (5)
ifding/deep-learning-python
Oct 2020 - Jan 2022
Deep Learning using Python/C++/OpenCV
Contributions:5 commits, 17 pushes, 1 branch in 1 year 3 months
c-plus-pluscomputer-visiondeep-learningmachine-learningpython
ifding/DLS-Clustering
Apr 2019 - Oct 2020
Contributions:6 commits, 27 pushes, 1 branch in 1 year 5 months
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