April 25, 2014 –Nicholas Petraco, Associate Professor at John Jay College of Criminal Justice, CUNY, presented his talk, “Quantitative Criminalistics: Application of State-of-the-Art Machine Learning and Computational Statistics to Catching Bad Guys.”
Trained in applied mathematics and quantum chemistry, Professor Petraco’s research focuses on the application of rigorous science to the law and litigation. His research has been profiled in the New York Times, Popular Mechanics, C&E News, and The New Scientist.
In his presentation, Professor Petraco reviewed how data mining can be used in applied forensics. He shows how the combination of Bayesian and non-Bayesian techniques can offer data miners new ways to measure performance of data mining models, and how these measurements are essential in their application in law and court. Finally, he shows examples from his own research including the analysis of fingerprints, shoe prints, and chemicals.
If you missed the seminar, you can still catch it here: https://videostreaming.gc.cuny.edu/videos/video/1572