- Antibiotic resistance
- Effects of climate on mosquito-borne diseases
- Mathematical modelling of infectious diseases
- Machine learning on medical health records
- Causality in biomedical data
Prof. Uri Obolski
School of Public Health
Department of Environmental Studies
ביה"ס לבריאות הציבור
סגל אקדמי בכיר
Department of Environmental Studies
Research
Education
- B.Sc Mathematics, Tel Aviv University, 2011
- M.Sc Computational Biology, Tel Aviv University, 2012
- PhD Computational Biology, Tel Aviv University, 2016
Academic appointments
- Associate Professor, Porter School of the Environment and Earth Sciences, School of Public Health, Tel Aviv University - 2024
- Senior Lecturer, Porter School of the Environment and Earth Sciences, School of Public Health, Tel Aviv University - 2019-2024
- Postdoctoral research fellow, University of Oxford, 2016-2019
Selected publications
- Stensrud, M. J., Nevo, D., & Obolski, U. (2024). Distinguishing immunologic and behavioral effects of vaccination. Epidemiology, 10-1097.
- Obolski, U., Swarthout, T. D., Kalizang’oma, A., Mwalukomo, T. S., Chan, J. M., Weight, C. M., ... & Heyderman, R. S. (2023). The metabolic, virulence and antimicrobial resistance profiles of colonising Streptococcus pneumoniae shift after PCV13 introduction in urban Malawi. Nature communications, 14(1), 7477.
- Baraz, A., Chowers, M., Nevo, D., & Obolski, U. (2023). The time-varying association between previous antibiotic use and antibiotic resistance. Clinical Microbiology and Infection, 29(3), 390-e1.
- Chowers, M., Zehavi, T., Gottesman, B. S., Baraz, A., Nevo, D., & Obolski, U. (2022). Estimating the impact of cefuroxime versus cefazolin and amoxicillin/clavulanate use on future collateral resistance: a retrospective comparison. Journal of Antimicrobial Chemotherapy, 77(7), 1992-1995.
- Lourenço, J., Barros, S. C., Zé-Zé, L., Damineli, D. S., Giovanetti, M., Osório, H. C., ... & Obolski, U. (2022). West Nile virus transmission potential in Portugal. Communications biology, 5(1), 6.
- Lewin-Epstein, O., Baruch, S., Hadany, L., Stein, G. Y., & Obolski, U. (2021). Predicting antibiotic resistance in hospitalized patients by applying machine learning to electronic medical records. Clinical Infectious Diseases, 72(11), e848-e855.
- Diamant, M., Baruch, S., Kassem, E., Muhsen, K., Samet, D., Leshno, M., & Obolski, U. (2021). A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse. Nature Communications, 12(1), 1148.
- Cherny, S. S., Nevo, D., Baraz, A., Baruch, S., Lewin-Epstein, O., Stein, G. Y., & Obolski, U. (2021). Revealing antibiotic cross-resistance patterns in hospitalized patients through Bayesian network modelling. Journal of Antimicrobial Chemotherapy, 76(1), 239-248.
- Lourenço, J., Thompson, R. N., Thézé, J., & Obolski, U. (2020). Characterising West Nile virus epidemiology in Israel using a transmission suitability index. Eurosurveillance, 25(46), 1900629.
- Obolski, U., Perez, P. N., Villabona‐Arenas, C. J., Thézé, J., Faria, N. R., & Lourenço, J. (2019). MVSE: An R‐package that estimates a climate‐driven mosquito‐borne viral suitability index. Methods in ecology and evolution, 10(8), 1357-1370.
Prizes
- Best research project in the Clalit Health Services ROMACH initiative - 2023
- Rector's excellence in teaching award, Faculty of Medicine - 2020-2021
- Excellence in teaching award , School of Public Health - 2019-2020
- EMBO fellowship for postdoctoral research - 2016
- Wolf Prize for excellent PhD Students - 2014
Active grants
- ISF personal research grant – Understanding the dynamics of antibiotic resistance: towards data-based empiric treatment
- Safra and Ichilov Clinical Bioinformatics Research Grant – “Identifying effective antibiotic treatments through CRP dynamics”
- TAU Data Science Center Grant – Mathematical foundations of xAI and their applications to personalized medicine and public health
- TAU Data Science Center , Safra and Shaarei Zedek collaborative Grant – Identifying Trajectories of the Six-Minutes Walk Test in Heart Failure Prognostication: A Machine Learning Approach