Dr. Martin Sterchi
Dr. Martin Sterchi
Activities at FHNW
Lecturer
Martin Sterchi is a lecturer for Business Analytics at the School of Business FHNW. He studied Economics at the Universities of Fribourg (BA 2012) and Zurich (MA 2016). He completed his PhD in the field of Computer Science in February 2023 (at the University of Zurich). The topic of his PhD thesis is "Computational Approaches to Epidemic Prevention on Contact Networks". His work focuses on problems in the fields of Econometrics, Network Analysis, and Machine Learning.
Teaching
- Empirical Methods and Business Analytics (BSc Business Administration)
- Project week Applied Data Science (BSc Business Administration, BSc International Management)
- Machine Learning (Specialization Managerial Data Science)
- Business Analytics and Quantitative Methods (MSc Business Information Systems)
Consulting
- Pricing of services in the health sector
- Data analyses in the health sector
- Economic analyses in the agricultural sector
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No peer reviewed content available
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Peer reviewedSterchi, M., Hilfiker, L., Grütter, R., & Bernstein, A. (2023). Active querying approach to epidemic source detection on contact networks. Scientific Reports, 13(11363). https://doi.org/10.1038/s41598-023-38282-8
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Fuduric, N., Kraft, C., & Sterchi, M. (2021). MeteoSwiss CHAPo: pollen information needs analysis. Fachhochschule Nordwestschweiz FHNW. https://irf.fhnw.ch/handle/11654/42941
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Peer reviewedSterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2021). Outbreak detection for temporal contact data. Applied Network Science, 6(17). https://doi.org/10.1007/s41109-021-00360-z
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Peer reviewedSterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2020). Maximizing the likelihood of detecting outbreaks in temporal networks. In H. Cherifi, S. Gaito, J. F. Mendes, E. Moro, & L. M. Rocha (Eds.), Complex networks and their applications VIII. Volume 2 proceedings of the eighth international conference on complex networks and their applications. Complex Networks 2019 (pp. 481–493). Springer. https://doi.org/10.1007/978-3-030-36683-4_39
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Peer reviewedStöckli, S., Messner, C., Sterchi, M., & Dorn, M. (2019). Unreliable is better: theoretical and practical impulses for performance management. Die Unternehmung, 73(2), 167–180. https://doi.org/10.5771/0042-059X-2019-2-167
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Peer reviewedSterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., Grütter, R., & Nathues, H. (2019). The pig transport network in Switzerland. Structure, patterns, and implications for the transmission of infectious diseases between animal holdings. Plos One, 14(5), 1–20. https://doi.org/10.1371/journal.pone.0217974
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Peer reviewedFaverjon, C., Bernstein, A., Grütter, R., Nathues, C., Nathues, H., Sarasua, C., Sterchi, M., Vargas, M. E., & Berezowski, J. (2019). A transdisciplinary approach supporting the implementation of a big data project in livestock production: an example from the Swiss pig production industry. Frontiers in Veterinary Science, 6(215). https://doi.org/10.3389/fvets.2019.00215
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Peer reviewedHulliger, B., & Sterchi, M. (2018). A survey-based design of a pricing system for psychotherapy. Health Economics Review, 8(29). https://doi.org/10.1186/s13561-018-0213-7
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No peer reviewed content available
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Peer reviewedHilfiker, L., & Sterchi, M. (2021). Covid-19 superspreading. lessons from simulations on an empirical contact network. 10th International Conference on Complex Networks and their Applications. https://irf.fhnw.ch/handle/11654/43156
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Peer reviewedSterchi, M. (2018). Pig data. Transdisciplinary approach for health analytics of the Swiss Swine Industry. InnovSur. INNOVATION in Health Surveillance International Forum. https://irf.fhnw.ch/handle/11654/42302
Contact
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Dr. Martin Sterchi
- Lecturer, Institute for Competitiveness and Communication
- Telephone
- +41 62 957 24 18 (direct)
- bWFydGluLnN0ZXJjaGlAZmhudy5jaA==
- FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Business
Riggenbachstrasse 16
CH – 4600 Olten