2024 SAFE July educational seminar

Attend this seminar to earn credits to renew your SAFE membership for 2024 and renew your CFDE certification.

Date: Time
31-July-2024 16:00 (4:00 pm) PDT
31-July-2024 19:00 (7:00 pm) EDT
31-July-2024 24:00 (00:00 ) GMT
01-August-2024 01:00 (01:00 am) SAST
01-August-2024 11:00 (11:00 am) NZST

Speakers: Dr. Alicia Carriquiry and Dr. Stephanie Reinders

 

Alicia Carriquiry joined the faculty in Statistics at Iowa State in 1990. She is currently Distinguished Professor of Liberal Arts and Sciences and President’s Chair in Statistics, and is Director of the Center for Statistics and Applications in Forensic Evidence (CSAFE), a NIST Center of Excellence. She is an elected member of the National Academy of Medicine and of the American Academy of Forensic Science, and is also a Fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, the International Society for Bayesian Analysis and the International Statistical Institute.

Carriquiry’s research interests include Bayesian methods, sampling, study design, and application of machine learning approaches in biological and forensic problems. She has worked extensively on problems in human nutrition and in the last several years has established an active research program in forensic statistics. She has published about 160 peer-reviewed articles and has mentored 22 doctoral students, about 40 MS students, six post-doctoral researchers, and many brilliant undergraduates.

Stephanie Reinders is a Research Scientist at the Center for Statistics and Applications in Forensic Evidence at Iowa State University. She received a B.A. in journalism and Japanese from the University of Minnesota and a Ph.D. in applied math and computer engineering from Iowa State University. Her research focuses on applying statistical and machine learning methods to digital evidence and handwriting analysis problems.

Topic: Handwriter software

Abstract

The handwriter software performs forensic handwriting analysis. We will discuss its current capabilities and our plans to extend its functionality and give a demonstration of the software.