Dan Peng: Email & Phone Number
Opt-OutPosition:
Machine Learning Researcher at Stanford University
Location:
United States
Found email addresses for Dan Peng:
Found phone for Dan Peng:
A different Dan Peng?
Sign up to search for other Dan Peng's across our 850M+ professionals databaseWork Experience 5 years
May 2025 - Current
May 2023 - Current
Oct 2025 - Current
Sep 2025 - Dec 2025
Jun 2021 - Jul 2021
Dan is proficient in Chinese, English, and Italian. Their professional focus is Amazon Web Services (AWS), Apache Kafka, and Biopython across 3 core areas.
Dan holds Data or Specimens Only Research, Database Design and Basic SQL in PostgreSQL, and Survival Analysis in R for Public Health certifications.
Education
Master of Science - MS at Stanford University
Bachelor of Science - BS at University of North Carolina at Chapel Hill
Frequently Asked Questions
What is Dan Peng's email address?
SignalHire found verified email addresses for Dan Peng, both business and personal. Their business email is i**o@official-danpeng.com, and personal emails include d***********2@gmail.com, b*********g@comcast.com, and d*****g@unc.edu.What is Dan Peng's phone number?
SignalHire found a verified phone number for Dan Peng: +1-***-***-3119.How do I contact Dan Peng at Stanford University?
You can reach Dan Peng through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Dan Peng's professional background?
Dan Peng has 5 years of professional experience. They have held roles including Student Researcher, Machine Learning Engineer, and Software Engineer Co-op Fellow at companies such as The University of North Carolina at Chapel Hill, Takeoff41, Inc., and Bandwidth Inc.. Their education includes Master of Science - MS from Stanford University, and Bachelor of Science - BS from University of North Carolina at Chapel Hill.Is Dan Peng's contact information up to date?
Yes. Dan Peng's SignalHire profile was last updated on 20 May 2026, reflecting their current position as Machine Learning Researcher at Stanford University in Stanford, CA, United States.
Similar profiles
Other employees at Stanford University
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
