Holger Klinck
John W. Fitzpatrick Director, K. Lisa Yang Center for Conservation Bioacoustics
As director of the K. Lisa Yang Center for Conservation Bioacoustics, one of my goals is to enable researchers around the globe to acoustically monitor habitats and wildlife at large spatial scales. My current research focuses on the development and application of hardware and software tools to acoustically monitor terrestrial and marine ecosystems and biodiversity. I am also studying the impacts of anthropogenic noise on the vocal and locomotive behavior of animals. I advise several undergraduate and graduate students at Cornell and Oregon State University (OSU) and I regularly teach national and international bioacoustics classes.
Before moving to the United States for a postdoctoral position at OSU, I was a Ph.D. student at the Alfred Wegener Institute for Polar and Marine Research in Germany. My graduate work focused on the development of the Perennial Acoustic Observatory in the Antarctic Ocean and the study of the vocal behavior of leopard seals (coolest animals ever!) I am a full member of the Acoustical Society of America (ASA), responsible for the ASA technical committee Animal Bioacoustics website. I joined the Cornell Lab as the director of the Bioacoustics Research Program in 2016. I am also a Faculty Fellow with the Atkinson Center for a Sustainable Future at Cornell University. In addition, I hold an Adjunct Assistant Professor position at Oregon State University (OSU), where I lead the Research Collective for Applied Acoustics.
Beyond the Lab
I am an avid college and professional sports fan. My hobbies include running, sailing, and tinkering with gadgets. My wife Karolin and I live in Ithaca and enjoy hiking with our two Australian shepherd dogs, Lilly and Sammy.
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https://www.birds.cornell.edu/home/wp-content/plugins/zotpress/
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Clink, D. J., J. Kim, H. Cross-Jaya, A. H. Ahmad, M. Hong, R. Sala, H. Birot, C. Agger, T. T. Vu, H. N. Thi, T. N. Chi, and H. Klinck (2025).
Automated detection of gibbon calls from passive acoustic monitoring data using convolutional neural networks in the "torch for R" ecosystem. [Online.] Available at
Bouffaut, L., Q. Goestchel, R. A. Rørstadbotnen, A. Sladen, A. Hartog, and H. Klinck (2025).
Estimating sound pressure levels from distributed acoustic sensing data using 20 Hz fin whale calls.
JASA Express Letters 5:040802.
Mann, D., A. Anderson, A. Donner, M. Hall, S. Kahl, and H. Klinck (2025).
Continental-scale behavioral response of birds to a total solar eclipse.
Scientific Reports 15:10113.
Weidlich-Rau, M., A. K. Navine, P. T. Chaopricha, F. Günther, S. Kahl, T. Wilhelm-Stein, R. C. Mack, H. Reers, A. N. Rice, M. Eibl, P. J. Hart, et al. (2025).
Continuous real-time acoustic monitoring of endangered bird species in Hawai'i.
Ecological Informatics:103102.
Garcia, M. L., I. Tolkova, S. Madhusudhana, A. Rahaman, C. S. Baker, C. A. Mayo, C. A. Hudak, and H. Klinck (2025).
Acoustic abundance estimation for Critically Endangered North Atlantic right whales in Cape Cod Bay, Massachusetts, USA.
Endangered Species Research 56:101–115.
Joly, A., L. Picek, S. Kahl, H. Goëau, L. Adam, C. Botella, M. Servajean, D. Marcos, C. Leblanc, T. Larcher, J. Matas, et al. (2025). LifeCLEF 2025 teaser: challenges on species presence prediction and identification, and individual animal identification. Advances in Information Retrieval (C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri and N. Tonellotto, Editors). Springer Nature Switzerland, Cham, pp. 373–381.
Cooley, L. A., A. G. Hindle, C. L. Williams, P. J. Ponganis, S. M. Hannah, H. Klinck, M. Horning, D. P. Costa, R. R. Holser, D. E. Crocker, and B. I. McDonald (2024).
Physiological effects of research handling on the northern elephant seal (Mirounga angustirostris).
Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology:111771.
Wood, C. M., F. Günther, A. Rex, D. F. Hofstadter, H. Reers, S. Kahl, M. Z. Peery, and H. Klinck (2024). Real-time acoustic monitoring facilitates the proactive management of biological invasions.
Biological Invasions.
https://doi.org/https://doi.org/10.1007/s10530-024-03426-y
Madhusudhana, S., H. Klinck, and L. B. Symes (2024).
Extensive data engineering to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets.
Philosophical Transactions of the Royal Society B: Biological Sciences 379:20230444.