Forensic Science Institute

Ulrich Englich
- Syracuse University, Forensic Science Institute
Person: Academic
19922020
Michael Marciano
- Syracuse University, Forensic Science Institute
Person: Academic
20132021

3 Active
9 Finished

Sex-Based Targeted Recovery of Cells in a Heterogeneous Mixture: Separating Male and Female Like-Cells - Forensics
Marciano, M.
National Institute of Justice/Department of Justice
1/1/21 → 12/31/22
Project: Research project
Sex-Based Targeted Recovery of Cells in a Heterogeneous Mixture: Separating Male and Female Like-Cells
Hehnly, H. & Marciano, M.
National Institute of Justice/Department of Justice
1/1/21 → 12/31/22
Project: Research project
A Fully Continuous Machine Learning Approach to Predict the Number of Contributors in Sequence Based DNA Profiles
Marciano, M. & Adelman, J.
National Institute of Justice/Department of Justice
1/1/19 → 12/31/20
Project: Research project

61 Article
2 Patent
1 Review article

Match statistics for sequence-based alleles in profiles from forensic PCR-mps kits
Young, B., Marciano, M., Crenshaw, K., Duncan, G., Armogida, L. & McCord, B., Mar 2021, In: ELECTROPHORESIS. 42, 6, p. 756-765 10 p.
Research output: Contribution to journal › Article › peer-review
Phylogenetic-based Differential Cell Separation and DNA Extraction
Marciano, M. & Dunegan, M., Jun 10 2021, Nov 2 2020, Priority date Nov 1 2019, Priority No. 62/929,216
Research output: Patent
Revisiting single cell analysis in forensic science
Marciano, M., 2021, In: Scientific Reports. 11, 7054, 12 p.
Research output: Contribution to journal › Article › peer-review

1 Invited talk
1 Oral presentation

AN AUTOMATED SINGLE CELL SEPARATION TECHNIQUE TO IMPROVE MIXTURE DECONVOLUTION
Michael Marciano (Speaker)
Nov 2020
Activity: Talk types › Oral presentation
PACE™: RAPID AND AUTOMATED ARTIFACT IDENTIFICATION AND NUMBER OF CONTRIBUTOR PREDICTION
Michael Marciano (Speaker)
Jul 28 2020
Activity: Talk types › Invited talk

Forensic Science: What Was Learned From 9/11
Michael Marciano
9/10/21
1 item of Media coverage
Press/Media: Expert Comment
First machine-learning approach to forensic DNA analysis
Michael Marciano
7/29/21
1 item of Media coverage
Press/Media: Expert Comment
FORENSIC SCIENTISTS DESIGN THE FIRST MACHINE LEARNING APPROACH TO FORENSIC DNA ANALYSIS
Michael Marciano
7/28/21
1 item of Media coverage
Press/Media: Expert Comment