Clarence Cheng
Data Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolClarence Cheng is a Data Scientist with 12 years of experience applying machine learning and RNA biochemistry to real-world problems, currently driving research informatics at Alnylam Pharmaceuticals. He combines a Ph.D. in Biochemistry from Stanford with hands-on experience developing next-generation sequencing–based RNA structure prediction methods and production ML/NLP tools from his Insight Data Science fellowship. Comfortable bridging lab and code, he has built pipelines that translate experimental data into predictive models and user-facing reading tools that leverage crowd-sourced highlights. Based in Cambridge, he brings both academic rigor and product-minded engineering to biotech data challenges, with a rare blend of wet-lab expertise and applied ML systems.
12 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Molecular Biophysics and Biochemistry, Bachelor’s Degree, Molecular Biophysics and Biochemistry at Yale UniversityDoctor of Philosophy (Ph.D.), Biochemistry, Doctor of Philosophy (Ph.D.), Biochemistry at Stanford University
English
Github Skills (10)
mutate8
bioinformatics6
sequencing6
rna-seq4
signal4
genomics3
seq2
inference-engine1
inference1
iso1
Programming languages (1)
Github contributions (5)
cyucheng/skimr
Jun 2017 - Jul 2017
Contributions:50 commits, 44 pushes, 1 branch in 1 month
ribokit/M2seq
Apr 2015 - Oct 2016
Analysis of 2D signal in mutate-and-map sequencing data
Contributions:24 commits in 1 year 6 months
signalsequencing-datamutatesequencingbioinformatics
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