If you are currently a student in forensic science (or have recently graduated) you may be wondering “what comes next”? We’ve gathered a panel of experts to answer all of your questions from what to put on your resume to what you can expect once you’re hired.
Join our online forum to be held on Wednesday, February 22, 2023 at 10 AM CST/11 AM EST/ 8 AM PST. Space is limited for this informal and interactive forum, so register early if you’d like to participate live! (All who register will be able to watch on-demand)
Connect with Attendees and Exhibitors
ISHI will have dedicated networking opportunities where you can chat with other attendees, speakers, and exhibitors. Students are welcome to attend a dedicated reception with an expert panel hosted on Sunday evening.
Book a booth at ISHI and introduce your products and services to scientists from around the world. You’ll reach decision makers who purchase products and services related to all aspects of forensic DNA.
It can be difficult to navigate obtaining your degree and then beginning your career. That’s why we’ve created this resource page.
The ISHI Report
Each quarter, we’ll bring you a glimpse into the fascinating field of forensic science and the dedicated people committed to carrying out the important work of identifying the missing, exonerating the innocent and finding the truth in each DNA sample.
Save the Date
Save the date for the 35th anniversary of ISHI held at the JW Marriott Hill Country in San Antonio, TX from September 23-26, 2024.
Forensic Genomics is the Official Journal of ISHI
Forensic Genomics is a new peer-reviewed journal that addresses how advances in genetic testing and genomic analysis can enable investigators to break through previously impenetrable forensic DNA barriers. Led by Editor-in-Chief Nicole Novroski PhD, the Journal focuses on the use of DNA testing technologies, algorithms, artificial intelligence, and genealogical research methods to support human identification using inference tools and inductive reasoning. Forensic Genomics aims to accelerate the validation and adoption of new methods to support investigations that would be otherwise stalled with traditional testing methods (view past issues).