Expert Radar
Prof. Yili Hong
Prof. Yili Hong has over 10 years of experience in statistics. He earned his BS in statistics from the University of Science and Technology of China and his MS and PhD in statistics from the Iowa State University. He is active in his field as a member of various organizations including the American Statistical Association and the International Society for Business and Industrial Statistics. He previously served as a teaching assistant, lab instructor, and research assistant for the statistics department at Iowa State University. He was also an assistant professor of statistics at Virginia Tech. This expert currently serves as an associate professor of statistics at a university in Virginia. He is also an associate editor of a statistical journal and a member of the editorial review board for a peer-reviewed statistics and engineering journal. His interests include reliability analysis, survival analysis, and machine learning.
y*********@**.edu
(515) ***-****
Belmont, Massachusetts
Get a FREE Demo of Prof. Yili Hong's Radar Profile
Review this expert's litigation history, supporting legal docs, publications, professional background, and more.
Comprehensive data on expert witnesses: Access detailed litigation history and performance metrics.
Swift assessment: Quickly evaluate an expert's track record.
Informed decisions: Make better choices when selecting or challenging expert witnesses in any case.
DISCLAIMER: Expert Institute operates independently and objectively as an expert witness data provider. This listing does not reflect or imply any existing relationship between the expert and Expert Institute. We do not employ, endorse, or maintain any affiliation with the experts listed. Information shown is automatically generated from public sources and may not be current or complete. For verified, in-depth expert data, please contact us to initiate a formal request.
Expert Witness Activity
Plaintiff Cases
Defense Cases
Expert Challenges
Deposition Transcripts
Publications
Media & News
Social Media Mentions
Case Name | Role | Filed Date |
---|
Defense
Plaintiff
0
25
50
75
100
2000
0
2002
0
2004
0
2006
0
2008
0
2010
0
0
25
50
75
100
Title | Type |
---|
Access detailed litigation history and performance metrics.
Access your Radar profile through Expert iQ, our secure, cloud-based platform that hosts AI-driven insights.
Delivered in 5–7 business days
Receive your profile swiftly, with Radar gathering intelligence from thousands of data points.
24/7 monitoring for 12 months
Stay informed with continuous monitoring and live alerts, ensuring your profile is always up-to-date.