Sifang Thorn
Tech Lead, Applied AI & Machine Learning at Cendyn
Greater Pittsburgh Region United States
Summary
👤
Senior🎓
Top SchoolSifang Thorn is a Tech Lead in Applied AI & Machine Learning with 13 years of experience building production-grade AI systems that drive revenue optimization and intelligent decisioning. She combines dual training in Computer Science and Statistics to deliver end-to-end solutions—experimentation, forecasting, optimization and causal inference—rather than isolated models. Her career spans industry and academic roles, from biostatistics and clinical trials at the University of Pittsburgh to leading data science teams at Analog Devices and Cendyn, where she now designs scalable ML platforms. Sifang’s research interests include NLP and deep learning, and she’s known for turning complex, messy data into robust, measurable business impact.
13 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyPostgraduate Diploma Statistics, Postgraduate Diploma Statistics at University of WarwickMaster’s Degree Biostatistics, Master’s Degree Biostatistics at University of Pittsburgh
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (47)
python10
machine-learning10
encoder-decoder10
seq2seq10
deep-learning10
tensorflow10
neural-network10
reinforcement-learning9
pytorch9
machine-translation9
ml9
natural-language-processing9
google-colaboratory9
deep-neural-networks9
nlp9
Programming languages (7)
Github contributions (5)
Sanqiang/text_simplification
Sep 2017 - Feb 2019
Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
Contributions:398 commits, 1 PR, 398 pushes in 1 year 5 months
encoder-decoderseq2seqdeep-learningseq2seq-modeltransformer
Sanqiang/downloads
Mar 2020 - Feb 2021
Contributions:176 pushes, 1 branch in 11 months
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