Texas Tech University

Lenka Halamkova, Ph.D.

Assistant Professor
High Dimensional Data Analysis

Email: lenka.halamkova@ttu.edu

Phone: 806-834-3734


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Education:

Research Scientist, University at Albany, SUNY, Albany, NY, 2013-2020

Research Assistant Professor, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY, 2012-2013

Research Associate, Department of Biology, Clarkson University, Potsdam, NY, 2009-2013

Ph.D. Interdisciplinary Study of Quaternary, Masaryk University, Brno, Czech Rep., 2006

Research Associate, Academy of Sciences, Brno, Czech Rep., 2002-2004

M.S. Systematic Zoology and Ecology, Masaryk University, Brno, Czech Rep., 2000

B.S. Systematic Biology and Ecology, Masaryk University, Brno, Czech Rep., 1997

Lab News

Texas Tech University Department of Environmental Toxicology, Lenka Halamkova

Research Interests:

High-dimensional data analysis

Machine learning

Multivariate analysis

Statistical methods for analyzing biological data

Evolutionary biology

Classes:

ENTX 6300 - Advanced Topics in Environmental Toxicology: Applied Multivariate Statistics & Machine Learning

ENTX 6385 Applied Statistics in Environmental Science

ENTX 6100 Lab Section of ENTX 6385
 

Bio:

Texas Tech Faculty Since 2020

Dr. Lenka Halámková's recent work focuses on applying multivariate statistical methods, primarily machine learning algorithms, to vibrational spectroscopic data for various applications. She has developed novel approaches for detecting and classifying biological stains, gunshot residue, and other trace evidence, emphasizing their role in profiling individuals through body fluids and nails.

In biochemical computing, Dr. Halámková uses enzymatic-based sensors to study characteristics like ethnicity and sex in forensic subjects. By analyzing biological markers, she identifies patterns linked to personal attributes and conducts data analysis, statistical tests, and predictive modeling to support her findings.

Her research also includes developing rapid diagnostic methods for Chronic Wasting Disease (CWD) in wildlife using Raman spectroscopy and machine learning. Additionally, she investigates structural changes in enzymes upon inhibition to understand enzyme activity and inhibition mechanisms.

Selected Publications:

  1. Barney, A., Trojan, V., Hrib, R., Newland, A., Halámek, J., Halámková, L. (2025). From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR–FTIR and Machine Learning. Sensors, 25(1), 227. https://doi.org/10.3390/s25010227.

  2. Mitu, B., Trojan, V., Hrib, R., Halámková, L. (2025). Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) analysis of human nails: Implications for age determination in forensics. J Forensic Sci., 70: 150 – 160.  https://doi.org/10.1111/1556-4029.15641.

  3. Vyas, B., Halámková, L., Lednev, I. K. (2024). Phenotypic profiling based on body fluid traces discovered at the scene of crime: Raman spectroscopy of urine stains for race differentiation. Analyst, 149, 20: 5081 – 5090. http://dx.doi.org/10.1039/D4AN00938J.

  4. Rania, V., Newland, A., Halámková, L., Trojan, V., Hřib, R., Halámek, J. (2024). Evaluation of Fentanyl Exposure Effects on Butyrylcholinesterase Activity as a Tool for Future On-Site Detection Methods. ACS Omega, 9, 38, 40234-40241. DOI: 10.1021/acsomega.4c06655

  5. Greco, M., Eldridge, M., Banks, E., Halámková, L., Halámek J. (2024) Metabolite Monitoring Concept for the Biometric Identification of Individuals from the Skin Surface. Analyst, 149 (2): 350-356. https://doi.org/10.1039/D3AN01605F.

  6. Mitu, B., Trojan, V., Halámková, L. (2023) Sex Determination of Human Nails Based on Attenuated Total Reflection Fourier Transform Infrared Spectroscopy in Forensic Context. Sensors, 23, 9412. https://doi.org/10.3390/s23239412.

  7. Mitu, B., Cerda, M., Hrib, R, Trojan, V., Halámková, L. (2023) Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) spectroscopy For Forensic Screening of Long-Term Alcohol Consumption from Human Nails. ACS Omega, 8, 24, 22203–22210. https://doi.org/10.1021/acsomega.3c02579.

  8. Khandasammy, S. R., Bartlett, N.R., Halámková, L., Lednev, I. K. (2023) Hierarchical Modelling of Raman Spectroscopic Data Demonstrates the Potential for Manufacturer and Caliber Differentiation of Smokeless Powders. Chemosensors, 11, 11. https://doi.org/10.3390/chemosensors11010011

  9. Khandasammy, S. R., Halámková, L., Baudelet, M., Lednev, I. K. (2023) Identification and Highly Selective Differentiation of Organic Gunshot Residues Utilizing their Elemental and Molecular Signatures, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 291. https://doi.org/10.1016/j.saa.2023.122316

  10. Trojan, V., Landa, L., Hrib, R., Jurica, J., Rychlickova, J., Zvonicek, V., Halámková, L., Halamek, J., Demlova, R., Belaskova, S., Sliva, J. (2022). Assessment of Delta-9-tetrahydrocannabinol (THC) in Saliva and Blood after Oral Administration of Medical Cannabis with Respect to its Effect on Driving Abilities. Physiological Research, 71(5):703 – 712. doi: 10.33549/physiolres.934907

  11. Ryzhikova, E., Ralbovsky, N. M., Sikirzhytski V., Kazakov, O., Halámková, L., Quinn, J., Lednev, I. K. (2021). Raman Spectroscopy and Machine Learning for Biomedical Applications: Alzheimer’s Disease Diagnosis Based on the Analysis of Cerebrospinal Fluid. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 248, 119188. doi: 10.1016/j.saa.2020.119188.

  12. Roček, Z., Halámková, L., Muzzopappa, P. (2021). Developmental Dynamics of Two Closely Related Species of Bombina (Amphibia: Anura) in context of their fossil evidence. Historical Biology, 33 (12), 3384 – 3401. https://doi.org/10.1080/08912963.2020.1867979

  13. Vyas, B., Halámková, L., Lednev, I. K. (2020). A Universal Test for the Forensic Identification of all Main Body Fluids Including Urine, Forensic Chemistry, 20, 100247. doi.org/10.1016/j.forc.2020.100247.

  14. Casey, T., Mistek, E., Halámková, L., Lednev, I. K. (2020). Raman Spectroscopy for Forensic Semen Identification: Method Validation vs. Environmental Interferences, Vibrational Spectroscopy, 109,103065. doi.org/10.1016/j.vibspec.2020.103065.

  15. Al‐Hetlani, E., Halámková, L., Amin, M. O., Lednev, I. K. (2020). Differentiating Smokers and Nonsmokers Based on Raman Spectroscopy of Oral Fluid and Advanced Statistics for Forensic Applications. Journal of Biophotonics, 13(3), doi: 10.1002/jbio.201960123
    Kramer F., Halámková L., Poghossian A., Schöning M.J., Katz E., Halámek J., Biocatalytic analysis of biomarkers for forensic identification of ethnicity between Caucasian and African American groups. Analyst, 2013; 138(21), 6251; doi: 10.1039/c3an01062g

Department of Environmental Toxicology

  • Address

    Department of Environmental Toxicology, Texas Tech University, Box 41163, Lubbock, TX 79409

  • Phone

    806.742.4567

  • Email

    entx.it@ttu.edu
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