Lenka Halámková is an assistant professor at Texas Tech University. Her research focuses on applying machine learning and multivariate statistical methods to vibrational spectroscopic data for forensic and biomedical applications. Her work includes developing techniques to detect and classify biological stains, gunshot residue, and other trace evidence, as well as using enzymatic sensors and biochemical computing to analyze biological markers associated with characteristics such as sex and ethnicity.
In this interview clip, Lenka Halámková, an assistant professor of high-dimensional data analysis at Texas Tech University, explains the next steps needed in order for attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy and machine learning to become a part of routine forensic and clinical toxicology workflows for opioid exposure.
In this interview clip, Lenka Halámková, an assistant professor of high-dimensional data analysis at Texas Tech University, explains the limitations of her team’s recent study.
In this interview clip, Lenka Halámková, an assistant professor of high-dimensional data analysis at Texas Tech University, explains her team’s data-driven approach when detecting fentanyl in human nails.
In this interview clip, Lenka Halámková, an assistant professor of high-dimensional data analysis at Texas Tech University, explains how ATR-FTIR spectroscopy captures chemical signatures of fentanyl within the nail’s keratin matrix.
In this video clip from Pittcon 2026, Lenka Halámková, an assistant professor at Texas Tech University, provides an overview of her talk at Pittcon.
March 23rd 2026
