Position:
Graduate Research Assistant at University of Florida
Location:
Gainesville, Florida, United States
Found email addresses for Deyi Li:
Found phones for Deyi Li:
Aug 2023 - Current
Jun 2023 - Aug 2023
Dec 2021 - Jun 2023
Jan 2021 - May 2021
Aug 2018 - May 2021
Sep 2017 - Dec 2020
Their professional focus is Distributed Computing, Graph Machine Learning, and Reinforcement Learning across 3 core areas.
Doctor of Philosophy - PhD at University of Florida
Master of Science - MS at Carnegie Mellon University
Bachelor of Science - BS at Shenyang Pharmaceutical University
What is Deyi Li's email address?
SignalHire found verified email addresses for Deyi Li, both business and personal. Their business email is l*****i@uf.edu, and personal emails include d***@htsc.com.cn, l***@yahoo.com, and l***@cmu.edu.What is Deyi Li's phone number?
SignalHire found multiple verified phone numbers for Deyi Li: +1-909-***-**18, and +1-323-***-**66.How do I contact Deyi Li at University of Florida?
You can reach Deyi Li 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 Deyi Li's professional background?
Deyi Li has 9 years of professional experience. They have held roles including Private Equity Intern, Graduate Research Assistant, and Medical Science Liaison Intern at companies such as Huatai Securities Co., Ltd., Ray and Stephanie Lane Computational Biology Department (Carnegie Mellon University), and AstraZeneca. Their education includes Doctor of Philosophy - PhD from University of Florida, and Master of Science - MS from Carnegie Mellon University.Is Deyi Li's contact information up to date?
Yes. Deyi Li's SignalHire profile was last updated on 29 May 2025, reflecting their current position as Graduate Research Assistant at University of Florida in Gainesville, Florida, United States.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.
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