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Grace Tang
Principal Staff Machine Learning Engineer (Trust & Fairness AI) at LinkedIn
Education Overview
• stanford university
• university of california berkeley
Companies Overview
• insight data science
• san francisco state university
• stanford university
• ucsf
• verizon
Experience Overview
10.6 Years
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Experience
Skills
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adobe illustrator
algorithms
apache pig
bash
big data
bioinformatics
bootstrap
Bootstrap
computational biology
data analysis
data mining
data science
Flask
Frontend
hive
jquery
ligand binding
machine learning
Machine Learning (ML)
matlab
microsoft office
molecular biology
molecular dynamics
mysql
MySQL
natural language processing
Natural Language Processing (NLP)
programming
protein ligand interaction
protein purification
protein structure
python
Python
structural bioinformatics
structural biology
Web
Contact Details
Email (Verified)
gwtXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
stanford university
Doctor of Philosophy (PhD)
2008 - 2014
stanford university
Master of Science (MS)
2008 - 2010
university of california berkeley
Bachelor of Science (BS)
2004 - 2008
Frequently asked questions
What company does Grace Tang work for?
Grace Tang works for linkedin
What is Grace Tang role in his workplace?
Grace Tang's role in his workplace is Principal Staff Machine Learning Engineer (Trust & Fairness AI)
What is Grace Tang's tenure in his workplace?
Grace Tang's tenure in his workplace is 10.01 years
What is Grace Tang's total experience?
Grace Tang's total experience is 10.58 years
What is Grace Tang's LinkedIn profile?
What is Grace Tang's email address?
What is Grace Tang's phone/WhatsApp number?
What schools did Grace Tang attend?
Grace Tang has attended stanford university, stanford university, university of california berkeley
What companies has Grace Tang worked with?
Grace Tang has worked with linkedin, insight data science, san francisco state university, stanford university, ucsf, verizon
What are some of Grace Tang's skills?
Grace Tang has skills in adobe illustrator, algorithms, apache pig, bash, big data, bioinformatics and more.
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