Natallia Katenka

  • Associate Professor | Director of Data Science
  • Statistics
  • Email:
  • Office Location: Tyler 247


Dr. Katenka also has a Limited Joint Appointment Limited Joint Appointment, Dept. of Pharmacy Practice, Pharmacy.


Research Faculty at Digital Forensics and Cyber Security Center

Co-Founder of Network Science and Causal Inference for Public Health and Education (NCIPHER) Group (College of Pharmacy)

Statistical Analysis and Inference of Multivariate and Network Data with applications to:

  • Network Substance Use Prevention: new methods to improve HIV treatment and prevention among networks of people who use drugs
  • Education: analysis of students’ attitudes and achievement in intro courses
  • Finance: inference and characterization of multi-attribute  networks, portfolio selection
  • Cyber Security: anomaly detection, analysis of threats and complex behaviors,  infection models for different internet applications
  • Virtual Reality: study of changing perspective and its effect on immersion
  • Oncology: joint modeling of time to recurrence and cancer stage at recurrence
  • Signal Processing: optimal wireless sensor network (WSN) Design, multi-target detection, localization, tracking, and diagnostics with WSN


2009 Ph.D. University of Michigan Ann Arbor, Michigan Statistics
2007 M.S. University of Michigan Ann Arbor, Michigan Statistics
2004 M.S. Belarusian State University Minsk, Belarus Applied Math
2003 B.S. Belarusian State University Minsk, Belarus Computer Science

Selected Publications

Book and Book Chapters:

  • Marchenko, O.V., and Katenka, N.V. (eds.) (2020), Quantitative Methods in Pharmaceutical Research and Development: Concepts and Applications, Birkhauser, Springer Science, New York. (Muti-Author Book) Available at (link to )
  • Book Interview: 
  • Podcast: 
  • Marchenko O.V., LaVange L.M., Katenka N.V. (2020) Biostatistics in Clinical Trials. In: Marchenko O.V., Katenka N.V. (eds) Quantitative Methods in Pharmaceutical Research and Development. Springer, Cham. Book Chapter.
  • Buchanan A., Sun T., Katenka N.V. (2020) Causal Inference in Pharmacoepidemiology. In: Marchenko O.V., Katenka N.V. (eds) Quantitative Methods in Pharmaceutical Research and Development. Springer, Cham. Book Chapter.
  • Katenka, N. (2015), Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks, in textitComputational Network Theory- Theoretical Foundations and Applications-Quantitative and Network Biology, edited by Dehmer M., Emmert-Streib F., Pickl S., Wiley-Blackwell.

Peer-Reviewed Articles

  • Cavarsan, C.F., Steele, P.R., Landon, T.G., Reedich, E.J., McCane, L., LaPre, K., Reedich, E.J., Puritz, A.C., Manuel, M., Katenka, N., and Quinlan, K.A.(2023) Inhibitory interneurons show early dysfunction in a SOD1 mouse model of amyotrophic lateral sclerosis, Journal of Physiology. In Press.
  • Buchanan, A.L., Katenka, N., Lee, Y., Wu, J., Pantavou, K., Friedman, S.R., Halloran, M.E., Brandon, D. L., Marshall, B.D.L., Forastiere, L., and Nikolopoulos, G.K.(2023) Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs. Pathogens. In Press.
  • Lee, Y., Buchanan, A., Ogburn, E., Friedman, S., Halloran, M.E., Katenka, N., Wu, J., Nikolopoulos, G. (2023) Finding influential subjects in a network using a causal framework. Biometrics. In Press.
  • Lee, TF., Buchanan, A., Katenka, N., Forastiere, L., Halloran, E., Friedman, S., and Nikolopoulos G.(2023) Estimating causal e ects of HIV prevention interventions with interference in network-based studies among people who inject drugs. Annals of Applied Statistics. In press.
  • Sun T, Katenka, N., Kogut S, Rich J, Bratberg J, Buchanan AL.(2022) An application of marginal structural models to evaluate the effectiveness of buprenorphine-naloxone on opioid overdose and death among patients with opioid use disorder. MDPI. Pharmacoepidemiology. In Press.
  • Buchanan AL, Park CJ, Bessey S, Goedel WC, Murray EJ, Friedman SR, Halloran ME, Katenka NV, Marshall BDL.(2022), Spillover effects of pre-exposure prophylaxis delivery for HIV prevention: Evaluating the importance of effect modification using an agent-based model. Epidemiology and Infection. In Press.
  • Aroke H, Buchanan A, Katenka N, Crawford FW, Lee T, Halloran ME, Latkin C.(2022) Evaluating the Mediating Role of Recall of Intervention Knowledge in the Relationship Between a Peer-Driven Intervention and HIV Risk Behaviors Among People Who Inject Drugs. AIDS Behav. doi: 10.1007/s10461-022-03792-5. Epub ahead of print. PMID: 35932359.
  • Aroke, H., Katenka, N., Kogut, S., Buchanan, A. (2021). Network-Based Analysis of Prescription Opioids Dispensing Using Exponential Random Graph Models (ERGMs). In International Conference on Complex Networks and Their Applications (pp. 716-730). Springer, Cham.
  • Sun, T., Kogut. S., Katenka, N., Aroke, H., Bratberg, J., Buchanan, A. (2021), Early buprenorphine initiation, opioid overdoses and healthcare utilization among insured patients with opioid use disorder in the US, 2010 { 2018. The American Journal of Drug and Alcohol Abuse, 1-9.
  • Steele, P. R., Cavarsan, C. F., Dowaliby, L., Westefeld, M., Katenka, N., Drobyshevsky, A., Gorassini, M. A., and Quinlan, K. A. (2020). Altered Motoneuron Properties Contribute to Motor Decits in a Rabbit Hypoxia-Ischemia Model of Cerebral Palsy. Frontiers in Cellular Neuroscience, 14, 69.
  • Abramski K., Katenka N., Hutchison M. (2020) “A Network-Based Analysis of International Refugee Migration Patterns Using GERGMs.” In: Cheri H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. Studies in Computational Intelligence, vol 882. Springer.
  • Schuenemann J.-H., Ribberink N., and Katenka N., (2019), “Japanese and Chinese Stock Market Behaviour in Comparison { an analysis of dynamic networks,” Asia Pacic Management Review.
  • Chae Y., Katenka N., DiPippo, L.C.,(2019) “An Adaptive Threshold Method for Anomaly-based Intrusion Detection Systems,” In Proceedings of NCA 2019: 1-4
  • McLean E. L., Katenka N. , Seibel B. A., 2018. Decreased growth and increased shell disease in early benthic phase Homarus americanus in response to elevated CO2. Marine Ecology Progress Series 596: 113-126.
  • Flowers, B., Tatoian, R., Witkowski, A., Katenka, N. , and Herve, J.-Y. (2018), “Using Multi-Sensor Voting for Resilience in VR Biofeedback Games,” to appear in Proc. of IEEE Games Entertainment and Media (GEM) Conference, Galway, Ireland, August 2018.
  • Flowers, B., Tatoian, R., Katenka, N. , and Herve, J.-Y. (2018), “Using Perspective to Reduce Stimulus Response in Virtual Reality,” to appear in Proc. of IEEE Games Entertainment and Media (GEM) Conference, Galway, Ireland, August 2018.
  • Schuenemann, J.-H., Ribberink, N., and Katenka, N. (2018), “Intra Japanese Stock Market Behaviour – An Analysis of Dynamic Networks,” to appear in Proc. of 31st Annual Meeting of the Association of Japanese Business Studies (AJBS), Minneapolis, USA.
  • Jaladhanki, S., Katenka, N., DiPippo, L. (2017), “Epidemiological Study of Browser-Based Malware for University of Network Flow Data,” to appear in Proc. of 6th International Conference on Complex Networks and Their Applications, Lyon, France.
  • Leonard, T., Hamel, L., Daniels, N., Katenka, N., (2017), “Assortative Mixture of English Parts of Speech,” to appear in Proc. of 6th International Conference on Complex Networks and Their Applications, Lyon, France.
  • Marchenko, O., Tsodikov, A., Keener,R., Katenka, N. , and Thomas, Y. (2017), “Joint Modeling of Time to Recurrence and Cancer Stage at Recurrence in Oncology Trials,” Journal of Biopharmaceutical Statistics, vol. 7, 1-15.
  • Breard, G. and Katenka, N.  (2016), “Inference of Partial Canonical Correlation Networks with Application to Stock Market Portfolio Selection,” in Proceedings of the IEEE International Conference on Data Mining (ICDM), Data Mining in Networks Workshop, IEEE Computer Society, 69-76.
  • Chae, Y., Katenka, N., and DiPippo, L. (2016), “Adaptive Threshold Selection for Trust-based Detection Systems,” in Proceedings of the IEEE International Conference on Data Mining (ICDM), Data Mining for Cyber Security Workshop, IEEE Computer Society, 281-287.
  • Adochite, R-C., Moshnikova, A., Golijanin, J., Andreev, O.A., 
Katenka, N., Reshetnyak, Y.K. (2016), “Comparative Study of Tumor Targeting 
and Biodistribution of pH (Low) Insertion Peptides (pHLIP Peptides) Conjugated 
 with Different Fluorescent Dyes “, Molecular Imaging and Biology, World Molecular Imaging Society, 1-11.
  • Antosh, M., Wijesinghe, D., Shrestha, S., Lanou, R., Huang, Y., Hasselbacher, T., Fox, D., Neretti, N., Sun, S., Katenka, N., Cooper,L., Andreev, O., and Reshetnyak, Y. (2015), ”Enhancement of radiation effect on cancer cells by gold-pHLIP”, Proceedings of the National Academy of Sciences (PNAS) of the United States of America, vol. 112, no.17, 5372-5376.
  • Katenka, N., Levina, E., and Michailidis, G. (2013), ”Tracking Multiple Targets Using Binary Decisions from Wireless Sensor Networks,” the Journal of the American Statistical Association (JASA) Applications and Case Studies, vol. 108, 398–410.
  • Katenka, N., Kolaczyk, E. (2012), ”Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology,” Annals of Applied Statistics, 6(3), 1068-1094.
  • Ding, Q., Katenka, N., Barford, P., Kolaczyk, E., and Crovella, M. (2012), ”Intrusion as (Anti)social Communication: Characterization and Detection,” in Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China, August 2012.
  • Katenka, N., Levina, E., and Michailidis, G. (2008), ”Robust Target Localization from Binary Decisions in Wireless Sensor Networks,” Technometrics, 50(4), 448-461.
  • Katenka, N., Levina, E., and Michailidis, G. (2008), ”Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks,” IEEE Transactions on Signal Processing, 56, 329-338.

Previous Positions

2009 - 2012 Posdoc and Lecturer Boston University
Department of Mathematics and Statistics
Boston, Massachusetts
2004 - 2009 Research and Teaching Assistant University of Michigan
Department of Statistics
Ann Arbor, Michigan
2003 - 2004 Research Assistant National Academy of Sciences of Belarus Minsk, Belarus


2005 Statistical Intern Statistical Analysis and Reporting PFIZER Inc.
2004 Quality Assurance Engineer Software Quality Department Belhard Group
2003 Statistical Intern Biostatistics Department i3STATPROBE, Inc.

Course Information

STA 307 – Biostatistics I
STA 308 – Introductory Statistics
STA 409 – Statistical Methods in Research I
STA 411 – Biostatistics II
STA 441 – Introduction to Multivariate Statistical Learning
STA 541 – Applied Multivariate Analysis
STA 536 – Applied Longitudinal Analysis
STA 585 – Statistical Analysis of Network Data
DSP 555- Multivariate Statistical Learning for Data Science