|Dr. Grgicak was awarded a two-year grant from the NIST Measurement Science & Engineering Grant Program to develop an in silico NGS forensic laboratory.|
|The goal is to develop an in silico forensic laboratory using forensically relevant next-generation sequencing data in order to test multifarious laboratory scenarios and optimize processing decisions, improving forensic validation procedures. These in silico data can also be used to train machine learning and deep learning tools that require robust and large training sets, enhancing forensic analysis and interpretation procedures.|
OPEN FORUM: SCI 114 (Chemistry Conference Room).
On Thursday April 25th at 3pm, come see Amanda present her work on: DEVELOPING A FORENSICALLY RELEVANT SINGLE-CELL INTERPRETATION STRATEGY FOR HUMAN IDENTIFICATION.
In this work Amanda demonstrates that single-cell signal is fundamentally different than signal acquired from bulk-processing, signifying new interpretation constructs are needed for forensically relevant single-cell signal.
On Monday April 29th at 5pm, come see Laura present her work on: STABILIZING INFORMATION CONTENT IN DNA EVIDENCE FOR IMPROVED LAB-TO-LAB INFERENCE
Laura shows that the information content in forensic electropherograms (EPGs) can drastically be improved by applying a simulation-experimental based approach. She then applies these improved post-PCR laboratory parameters to optimize the pre-PCR process.
On Friday March 29, 2019, Dr. Grgicak will speak on topics related to Systems Thinking and the Impacts on Forensic Inference.
She shall summarize LFTDI’s work on the development of our computational systems which compute the a posteriori probability (APP) on the number of contributors (NoC) and the likelihood ratio (LR). Notably, she will highlight how the results from two computational systems may be combined in order to procure a complete weight-of-evidence. Last, she shall show how systematically optimizing the forensic laboratory process, using simulation, can improve LR outcomes and stabilize them across laboratories, improving inference outcomes nationally.
M.S.-level Job Description:
- M.S. level Part-time Research Assistant open to all Plan A (thesis-track) enrolled M.S. or 4th-Year B.S./M.S. Students in Chemistry, Biochemistry, Biology or Forensic Sciences.
- Starts Fall 2019.
- $12/hour; flexible 15-20 hours/week.
- Up to 2 years.
- Data may be used toward M.S. thesis, if applicable.
- Training in and duties include, nucleic acid extraction, qPCR, PCR, dPCR, Capillary Electrophoresis, Next-Generation Sequencing and Data Analysis.
- Preferred candidates will have taken, or plan to take, courses in Biochemistry, Bio-analytical/Molecular Biology, Statistics & Genetics.
- Send C.V. to Dr. Catherine Grgicak at firstname.lastname@example.org, if interested by April 30th, 2019.
LFTDI acquires an Ion S5 and Chef NGS system for forensic applications. The technology will be used to build a dynamic model of the entire NGS pipeline, which will be used to optimize the NGS process for efficient and reliable forensic data generation in a cost effective manner.
In her workshop (Sept 24, 2018) at ISHI 29, Dr. Grgicak chairs a workshop demonstrating why a systems thinking approach to validation positively impacts forensic mixture interpretation outcomes. Dr. Grgicak describes what Systems Thinking is, how the PROVEDIt DNA Database came to be, and how her background in physical chemistry drives her research.
Monday September 24th, 2018 // 8:30 am – 5:00 pm